A NUMERICAL REPRESENTATION FOR TAXONOMIC KEYS

Size: px
Start display at page:

Download "A NUMERICAL REPRESENTATION FOR TAXONOMIC KEYS"

Transcription

1 A NUMERCAL REPRESENTATON FOR TAXONOMC KEYS BY D. V. OSBORNE Physics Department, University of British Columbia * {Received 1 May 196) SUMMARY Some of the limitations of the usual type of dichotomous taxonomic key are pointed out. t is suggested that a particular method of representing the characteristic features of a species in numerical form can overcome some of these limitations. dentification by this method is rapid, can often be made correctly in spite of minor errois of observation, and requires no computation or computing equipment. The method may therefore be of particular use in the field. NTRODUCTON t is a common experience among amateur botanists, and not unknown among professionals, that keys for the assignment of plants to families, genera and species may on occasion yield incorrect results. For the present purpose we propose to ignore alike failures due to simple errors which it is the business of the amateur to avoid, and failures due to the difhculty of defining a species (e.g. Hieraciiim, Euphrasia) which it is the business of the professional to elucidate. Of the remaining sources of failure there are two which may be somewhat reduced by the method discussed below. The first arises when the observer is required by the key to arrive at a very precise description of a particular feature, e.g. leaf shape. The feature in question may be very uniform for all discoverable individuals and yet hard to describe to the standard of accuracy required for successful operation of the key. The second arises when the information needed for a particular decision early in the key is not available; e.g. it may be required to study the fruit which is not yet formed, or to know (of a fully developed plant) whether the leaves appeared before or after the flowers. The first difficulty demands a method of analysis which will allow the observer a small latitude of error without leading to wrong identification. The method described here takes a step in this direction for species which are not too variable, although it cannot replace statistical methods for taxonomic problems of real difficulty. The second difficulty demands the use of a key in which all the characters are studied simultaneously rather than step by step. This idea, by no means a new one (e.g. Balkovsky, i960), can best be realized in practice by using a computer, or at least by carrying out computation. The present method avoids such computation (for the user of the key) but still has some of the advantages of a simultaneous key. n what follows it will be assumed that strictly distinct species exist, that complete descriptions of them are available, and that the specimen in hand does actually answer one of these descriptions. t should be made clear that the information for the examples quoted below has been drawn from Clapham, Tutin and Warburg (195), and from Ross-Craig (198), and not from original observations of actual plants. * On leave from Department of Physics, St. Salvator's College, St. Andrews University, Scotland, until August

2 6 D. V. OSBORNE THE USE OF NUMBERS The use of numbers will best be made clear by a very simple example; it is possible (see later) to construct a key to those species of Geranium listed by Ross-Craig, in such a way that G. dissectum, G. molle and G. pusillum can be isolated as a group. Consider now the possibility of distinguishing between these three by using (a) the presence and size of the petal claw, and (b) the shape of the leaf lobes (See Table i). Table Ross-Craig Vol. V Plate No.,. 7 Geranium dissectum Short claw Leaf lobes linear G. molle Very short claw Leaf lobes rather broad 5 G. pusillum Fairly long claw Leaf lobes rather narrow, not divided to the base Two possible conventional keys are: fclaw long A \ [_Claw very short fleaf lobes narrow B \ [_Leaf lobes broad fleaf lobes broad X < lobes narrow fclaw long Y \ ^Claw very short or G. pusillum See B G. dissectum G. molle G. molle See Y G. pnsillwn G. dissectum n the first of these, the finder of a specimen of G. dissectum may be uncertain how to answer A, and therefore (in principle) uncertain how to proceed further. nverting the order of questions is no help, because, in the second key, question X will be hard to answer if the specimen in hand is G. pusillum. Yet it is evident that if the difficulty of question order could be overcome the three species are all clearly distinct from each other. A useful numerical representation will therefore (a) present all the relevant characters at once and (b) indicate to some extent degrees of difference between species. Table serves for the present example: Table A. Assigning of numerical values Claw: None C = i Leaf lobes: Linear L = i. Very short C = Narrow, divided to base L = Short C = Narrow, not divided to base L ^ Long C = Broad L = B. Numerical key for the three species Plate No. 7 Geranium dissectum C = L = i G. molle C = L = 5 G. pusillum C = L ^

3 Taxonomic keys 7 This table is to be used by assuming that the specimen in hand can be described with an accuracy of ± \ unit in any given feature. For example, the leaf lobes of a particular specimen of G. pusillum might be thought to be narrow, not divided to the base (L = ), or half-way between narrow and broad (L =!), or narrow and divided almost to the base (L = ^). But they could not reasonably be thought of as broad (L = ), or as narrow and divided to the base (L = ). f now observation of a given plant yields, for example, the description C = i\, L =, it is unambiguously clear from the table that it must be G. molle. The value C = i^ is compatible with G. dissectum, but L = is not. Likewise L = ^ is compatible with G. pusillum, but C = 1-- is not. The principle involved is that if the observer's description is only slightly wrong, the key can still lead to the correct identification. n order that this may be so, two conditions must be fulfilled: the key itself must contain a description accurate for all possible material, and the key must be constructed so that each species shows sufficient distinction from all others. The former point must be left to the botanist; it is an ideal which is sometimes hard to attain. So far as the latter is concerned, it is easily seen by inspection of Table B that for the tolerance specified (±i unit) the key descriptions of any two species are sufficiently distinct from one another if the descriptive numbers differ by at least units for at least one property (in this case C or L). t is assumed that the key descriptions make use only of integers. Using the symbols AL, AC, to refer to differences (without regard to sign) between values of L and of C for different species, a test table may be drawn up to show that Table B makes satisfactory distinctions between all possible pairs of species (see Table ). Table Plates No. 7 & Geranium dissectum G. molle AC = i AL = & 5 G. molle ^ G. pusillum AC = AL = i 5 & 7 G. pusillum G. dissectum AC = AL = n each row, at least one difference is greater than, or equal to,. Numerical treatment may be applied to almost any character; two further examples are the calyx shape of Vicia species (sepals equal i, upper two sepals shorter, upper two sepals very short ), and the styles of Saxifraga species in fiower (widely diverging i, short diverging, erect diverging, erect connivent ). n order to illustrate more fully this use of numerical grading, we now give a numerical key to the fourteen Geranium species illustrated by Ross-Craig. Two of the useful taxonomic characters have already been given (petal claw and leaf lobes) and numerical scales proposed for them in Table A. Other useful characters are shown in Table. Table Root or rhizome: Vertical R = Oblique or horizontal R = i Petal shape: Rounded, truncate or apiculate P = i Emarginate P = Hairs at base of petal: All over H = i Marginal only, or none H = All characters are expressed on a scale of four for reasons which will appear later. t would be perfectly possible in Table to make use of intermediate numbers, e.g. petals

4 8 D. V. OSBORNE rounded P = i, petals truncate P =^, petals emarginate P =, but unless and both figure in such a table, the presence of one of thenn is of no particular value. The fact that 'Rounded and truncate petals might be confused but both are distinct from emargmate petals' is just as well expressed by the use of P = i, P = as it is by P = i, P = and P = - The key is written down by listing the characteristics of each species m the order RHPCL, i.e. with the i, characters (RHP) first and the i,,, characters (CL) afterwards. The species themselves are placed in numerical order, treating RHPCL as an ordinary five digit number of which L is the least significant digit. The result is in Table 5. Ross-Craig Plate No \'ol. V Table 5. Geraniitm key Geiaiiiiiiii sylraticion G. pliaeinii CT. Vi'i'SJColor G. sangiiineuiu G. pratense G. columbinum G. rotundijoliini! G. pyreimicinn G. vobertianinii G. piirpiireiini G. hicidiun Cj. /nolle G. dissectiidi G. piisilliiiii (R, H. P from Table ; C from Table 6 below, L from Table A) One entry requires explanation; G. pltaeiun (0) has petals without claw, and would therefore have C = i if Table A were used. This, however, would render it nondistinct trom G. sylvaticum. Since the petals of G. phaeum are nearly black and carry a crimson blotch at the base, the confusion could be avoided by adding petal colour as a further character in the key, but this would complicate the key a good deal and would he useful only for this one purpose. We therefore modify the claw key (Table ) as in Table 6. Table 6 Claw: None, and no blotch at base of petal C = i None, and crimson blotch at base of dark petal Very short C = C ^ Short (^ _., Long C = This artificial procedure distinguishes G. phaeiim from G. sylvaticum, and it introduces no confusion between G. phaeum and the long-clawed species (5 and 9-1) because they are already fully distinguished by other characters (e.g. R). Many useful manoeuvres of this type are possible in this kind of key. Having compiled such a key, it is necessary to test it by constructing a table like Table to show that all possible pairs of species are distinguished. Unfortunately there are now fourteen species so that the total number of such pairs is 1C, which is 91. The work of testing can, however, be reduced very greatly when several columns (in this case RHP) contain only 's or 's. Any two species which differ at all in one of these three columns R H P C L

5 Taxonomic keys 0 are bound to differ by three units, i.e. significantly. The problem of testing is therefore reduced to that of taking each group of species having a given value of RHP, and testing each pair of species in it for distinctness as revealed by the remaining two digits (CL). n the present example it turns out that most groups can be tested at sight. The first group in Table 5, RHP = 111, contains species 1 and 0, which differ by a significant amount (>) in their value of C. Groups 11, 11 (one member only), 11 and 1 (one member only) are also plainly distinct. Group (species, 7 and 5) contains three members and is best tested by subtraction. t has already been shown (see Table ) that t makes satisfactory distinctions. n the remaining group 1, it is clear that species 9 is distinct from 0 and 1, but the latter are not distinct from one another. t would be possible to build an artificial distinction into the key, but it is perhaps easier in this case to treat them as a pair to be resolved when necessary by an auxiliary criterion. 0 (G. robertiamm), for example, has orange pollen, while 1 (G. piirpiireum) has yellow. The ehmination of the numbers and from the first three columns simplifies the ordering and testing of the key; it also simplifies its use. magine a plant has been found and its characters have been observed as: Root: vertical Hairs at base of petal: none R = H = Petal shape: emarginate Petal claw:?short or very short P = C = or, say '- Leaf lobes: not divided to the hase?broad or narrow L = or, say J- Description is therefore J- T,\ The last two digits are evidently not quite right; they might really be,, or. The first three digits, however, are correct, and the search is therefore reduced to the group which will be found in its proper place in numerical order. nspection of the last two digits shows that only G. molle () fits within the tolerance of ±5 unit. FURTHER DEVELOPMENT OF THE NOTATON The last stage of such an identification becomes much more tedious if the number of full columns (containing all four digits) is greater than two, but it will now be shown that a change of notation can be used to simplify the work very considerably. t is here that the importance emerges of arranging the characters so that they may be represented by one of four (or fewer) digits, rather than by say five or six. Consider a fictitious key referring to six different characters A-F, of which only A and B can be written unambiguously as i or. The group A = i, B = i of such a key might run as in Table 7A. f we now wish to identify a specimen described asi^i-j- -i (CDFF), there are eight possibilities for its true description, i.e. 111, 111, 11, 11,11,11, 1 and 1. n looking for one of these in Table 7A it is necessary to survey alniost half the table, the basic reason being that the numerical order of the table lays too much stress on the distinctions between i and and between and. We therefore change our notation, writing i for i, i for, for, and for. The result of this transcription is given in Table 7B. From this. Table 7C is formed by rewriting Table 7B in numerical order, treating i like i and like. We now rewrite the description of our specimen li i J- i i as 111, the rule being to transcribe i, i and as i, i as?, and, i- and as. On looking up 111 in its

6 0 D. V. OSBORNE proper numerical place in Table 7C, the specimen is identified as species a, and a reference to the original description (i i- i i ^ i) compared with the full description of a (111 in 7C, or 111 in 7A) verifies the identification as accurate within the prescribed tolerance of J^ i unit. Table 7A Table 7B Table 7C Species a b c d C D E F C 1 1 D E E ( Species,? b ] fl ] D 1 E F 1 e f gh c ] rf ] i i k 1 0 ' j n m n 0 P -^ -1- «' P Specimens which include a i in their description cost only slightly more trouble, as for example - i J- which is transcribed?i?. n seeking this number in key 7C, the?'s may be either i or (i.e. or in 7A) but not i or (i.e. i or in 7A). The four possibilities having the correct second and third digits are easily found; they are 111, 11, 11 and 1, and of these only 11, i.e. species /, has first and fourth digits which could be read as ^-. The theory of the use of such a key may be understood by remarking first that no two distinct species can occupy the same position in numerical order in Table 7C; e.g. 111, 111, 111, etc., are all indistinguishable. Once the table has been successfully constructed by a suitable choice of characters and of representation to make each species distinct, it follows that each species may be identified uniquely by its numerical order in Table 7C. f a specimen is described within an accuracy of zb? unit, its transcribed description (in terms of i,? and ) cannot therefore refer to a wrong species in the key, although the presence of one or more r may necessitate a moment's inspection to determine the right species. We conclude that, if any specimen is correctly described to an accuracy of +\ unit in each feature, if it is in fact referable to a species contained in the key, and if the species is correctly described by the key, then the rules given above will identify the specimen uniquely and correctly. f a given specimen lies outside the tolerance of ± \ unit, i.e. it differs from all the key descriptions by at least one unit in one character, its transcribed description may appear to be identifiable by Table 7C. Confirmation using the full description will, however, expose the error. For example, a description 11, transcribed for key 7C as 11 must be either species i or a mistaken description. Reference to the full description, 11, compared with that of / (11 in 7A, or 11 in 7C) shows that tbis identification cannot be correct. n such cases the species wrongly obtained (/ in this case) will usually resemble the description somewhat, and may offer a hint concerning the error. On the

7 Taxonomic keys 1 other hand, a description ^ will be transcribed?? and this does not even appear to be identifiable; it cannot be any of the species e, h, oxp having D =, E == in Table 7C, smce in each of these species either C or F (or both) is a definite' i or. Again, therefore, the description must be in some way erroneous. Rules may now be given for the testing of such a key when it has been constructed. n the first place, if A^ different characters are being used (in this case four, CDEF) '^ is the maximum number of distinct descriptions that can be written down, if the scale for each character runs from i to, whether or not the digits and are included. Table 7 therefore represents the maximum number of species (sixteen) that could possibly be distinguished using four characters of this type, and any real key based on four characters would usually contain considerably fewer species. t so happens therefore that Table 7C contains all the consecutive 'numbers' from 1111 to ; in practical cases some of these would usually be missing. n testing the key for distinctness, we take the first species from Table 7C and note those characters which are represented by 'definite' digits, i.e. i or rather than i or. This species is then compared with all others for which these particular characters are represented by the same digits, whether definite or indefinite. Remembering that 'distinction' means a difference of two units in at least one character (see Table ), each comparison must show that for at least one character the values in the two species are i and or and ; otherwise the key is non-distinct. The same test must be repeated for each species in turn. f no non-distinctness is revealed by this set of comparisons the key is satisfactory. For example species,«' (Table 7C) has only one definite digit, E = i, and has therefore to be compared with all other species having E = i or i, i.e. with b, c, d, 0, i, ni and k; species b has to be compared with all others having C = i or i, E = i or i, and F = or, i.e. with species d only; species a has to be compared with any others having C=iori,D= iori,e = or, and F = i or i, i.e. it requires no testing since there is no other such species. The total procedure involves, in the present example, thirty-nine separate comparisons; it is not laborious if carried out systematically. n constructing a key of this type, some characters will not at first lend themselves to classification in terms of four numbers (i,,, ) or two numbers (1,). t has already been remarked that a threefold classification of the type (i,, ) or (i,, ) may be replaced by a twofold one (i, ) without loss of precision. A classification represented by (1,, ), e.g. the calyx shape of Vicia referred to earlier, may be used as though it were (i,,, ). The fact that never appears will not affect the rules given earlier. f the character appears to require more than four different numbers, it is worth preserving the 1- system by splitting the character into sub-characters. As an example we take the petal colour and markings of Saxifraga which could be treated thus: J Petals white i; petals cream or pale yellow ; petals yellow ; petals mauve. K Petals white, cream or yellow i; petals mauve. L Petals spotted or having green veins i; petals unmarked. M Petals spotted i; petals with green veins or unmarked. This scheme makes all the distinctions required without resorting to means such as 'Petals unmarked i, green-veined, spotted 5'. At the same time each question (JKLM has been designed to have a definite answer for any relevant specimen. t is necessary to avoid 'K: Petals yellow i, mauve ' since this question has no answer for a whiteflowered plant.

8 D. V. OSBORNE SUMMARY OF THE METHOD We recapitulate here, free of explanatory material, tbe basic rules proposed above. Compiling and testing the key A set of different characters A,B,C... N is chosen, by means of wbicb tbe different species a, b...r in tbe selected group may be distinguished from one another. Species a is examined witb respect to character A and is assigned a numerical value Aa {Aa being an integer, i scaa ^^) for this character. n this way a set of key descriptions Aa Ba--- Na, Al, Bl,... Nb,..., Ar B,... Nr is built up for tbe r species (Table 7A). Tbe notation is now modified by writing everywhere i for i, i for, for, and for. Tbe modified key descriptions (Table 7B) are now placed in numerical order (Table 7C) gnoring at tbis point tbe distinctions between i and i, and between and. Tbe modified descriptions are tested for distinctness by the method described m the previous section, and tbe choice of characters or choice of numerical representation must be adjusted until tbe key is distinct. Using the key Tbe specimen x is examined witb respect to tbe characters A, B... N, and is assigned a numerical description Ax, Bx Nx using tbe same rules tbat were used in compiling tbe key descriptions. f, however, doubt exists about any character, it is permissible to assign a non-integral value to it, half-way between tbe two nearest probable values. Tbe specimen description is transcribed into modified form, writing for, i and, writing? for i, and writing for, ^ and. Tbis modified form is sougbt in its place in the numerically ordered key (Table 7C). f found, tbe original numerical specimen description is checked against the modified (or original) key description of the indicated species to see tbat tbey agree within ±i unit. f tbey do, the identification is unique and correct. f tbey do not, tben either tbe specimen description has errors greater than ±h unit, or tbe key was based on incomplete information. CONCLUSON f some of tbe botanical information used in tbe examples seems to botanists to be unsatisfactory or to have been roughly bandied, it is the author's hope tbat tbey will charitably overlook an amateur's shortcomings. The examples have been concerned with tbe identification of species within tbe genus. Tbe principles may be applicable at other levels, e.g. tbe identification of families and of genera, but tbis requires real botanical knowledge and will be humbly left to tbe professionals. Tbe main concern of tbe paper is to point out bow some of tbe limitations of the usual step-by-step taxonomic key may be overcome by tbe use of characters described by numbers, and the use of species arranged in numerical order. t is to be emphasized that tbe method described here, is, in its present form, applicable only to straightforward cases in which the species are in practice distinguishable. t would be likely, therefore, to be of most use to workers trying to identify in tbe field species already well known to science. t offers as much certainty of identification as a conventional key, it can be quicker in use, and it may allow identifications to be made even when the available material is in some respects incomplete. The actual identification process requires neither calculation, nor punched cards, nor a computer, and is therefore particularly

9 Taxonomic keys adapted for use in the field. The method is, however, no substitute for patient statistical work on those difficult genera in which distinct species are hard to define. ACKNOWLEDGMENT The author gratefully acknowledges the support afforded to this \\ ork by the grant from the President's Committee on Research at the University of British Columbia. REFERENCES BALKOVSKY, B. E. (i960). Methods of botanical research; a polytomic numerical coding system for the identification of plants. Bot. Zh., 5, 6. CLAPHAM, A. R., TUTN, T. G. & WARBURG, E. F. (195). Flora of the Britisli sles. Cambridge Uni\-ersity Press. ROSS-CRAG, S. (198). Draivings of Biitisli Plants. Bell, London.

10

A booklet Mathematical Formulae and Statistical Tables might be needed for some questions.

A booklet Mathematical Formulae and Statistical Tables might be needed for some questions. Paper Reference(s) 6663/01 Edexcel GCE Core Mathematics C1 Advanced Subsidiary Quadratics Calculators may NOT be used for these questions. Information for Candidates A booklet Mathematical Formulae and

More information

Algebra Exam. Solutions and Grading Guide

Algebra Exam. Solutions and Grading Guide Algebra Exam Solutions and Grading Guide You should use this grading guide to carefully grade your own exam, trying to be as objective as possible about what score the TAs would give your responses. Full

More information

PROTOCOL FOR DISTINCTNESS, UNIFORMITY AND STABILITY TESTS

PROTOCOL FOR DISTINCTNESS, UNIFORMITY AND STABILITY TESTS PROTOCOL FOR DISTINCTNESS, UNIFORMITY AND STABILITY TESTS Gaura L. GAURA UPOV Species Code: GAURA Adopted on 21/03/2012 Entry into force on 21/03/2012 1 I SUBJECT OF THE PROTOCOL The protocol describes

More information

Take the measurement of a person's height as an example. Assuming that her height has been determined to be 5' 8", how accurate is our result?

Take the measurement of a person's height as an example. Assuming that her height has been determined to be 5' 8, how accurate is our result? Error Analysis Introduction The knowledge we have of the physical world is obtained by doing experiments and making measurements. It is important to understand how to express such data and how to analyze

More information

Getting Started with Communications Engineering. Rows first, columns second. Remember that. R then C. 1

Getting Started with Communications Engineering. Rows first, columns second. Remember that. R then C. 1 1 Rows first, columns second. Remember that. R then C. 1 A matrix is a set of real or complex numbers arranged in a rectangular array. They can be any size and shape (provided they are rectangular). A

More information

Plant Crib GERANIUM. 1. Vegetative rosettes

Plant Crib GERANIUM. 1. Vegetative rosettes GERANIUM Yeo, P. F. (1985) Hardy Geraniums (Croom Helm, London, re-published with minor corrections 1992 by Batsford, London) is an excellent monograph which is invaluable for naming garden escapes as

More information

Plant features. What makes up plants? Parts of a plant. There is a large number of very different types of plants.

Plant features. What makes up plants? Parts of a plant. There is a large number of very different types of plants. Plant features There is a large number of very different types of plants. They are much easier to study and identify when they are classified. You use the same steps to classify plants that you used to

More information

The Integers. Peter J. Kahn

The Integers. Peter J. Kahn Math 3040: Spring 2009 The Integers Peter J. Kahn Contents 1. The Basic Construction 1 2. Adding integers 6 3. Ordering integers 16 4. Multiplying integers 18 Before we begin the mathematics of this section,

More information

Lab 4. Series and Parallel Resistors

Lab 4. Series and Parallel Resistors Lab 4. Series and Parallel Resistors Goals To understand the fundamental difference between resistors connected in series and in parallel. To calculate the voltages and currents in simple circuits involving

More information

Lab 2. Projectile Motion

Lab 2. Projectile Motion Lab 2. Projectile Motion Goals To determine the launch speed of a projectile and its uncertainty by measuring how far it travels horizontally before landing on the floor (called the range) when launched

More information

GCE Mathematics. Mark Scheme for June Unit 4723: Core Mathematics 3. Advanced GCE. Oxford Cambridge and RSA Examinations

GCE Mathematics. Mark Scheme for June Unit 4723: Core Mathematics 3. Advanced GCE. Oxford Cambridge and RSA Examinations GCE Mathematics Unit 473: Core Mathematics 3 Advanced GCE Mark Scheme for June 06 Oxford Cambridge and RSA Examinations OCR (Oxford Cambridge and RSA) is a leading UK awarding body, providing a wide range

More information

2018 Mathematics. Advanced Higher. Finalised Marking Instructions

2018 Mathematics. Advanced Higher. Finalised Marking Instructions National Qualifications 08 08 Mathematics Advanced Higher Finalised Marking Instructions Scottish Qualifications Authority 08 The information in this publication may be reproduced to support SQA qualifications

More information

Vectors Part 1: Two Dimensions

Vectors Part 1: Two Dimensions Vectors Part 1: Two Dimensions Last modified: 20/02/2018 Links Scalars Vectors Definition Notation Polar Form Compass Directions Basic Vector Maths Multiply a Vector by a Scalar Unit Vectors Example Vectors

More information

Some Notes on Linear Algebra

Some Notes on Linear Algebra Some Notes on Linear Algebra prepared for a first course in differential equations Thomas L Scofield Department of Mathematics and Statistics Calvin College 1998 1 The purpose of these notes is to present

More information

Grade 8 Chapter 7: Rational and Irrational Numbers

Grade 8 Chapter 7: Rational and Irrational Numbers Grade 8 Chapter 7: Rational and Irrational Numbers In this chapter we first review the real line model for numbers, as discussed in Chapter 2 of seventh grade, by recalling how the integers and then the

More information

1 Systems of Linear Equations

1 Systems of Linear Equations 1 Systems of Linear Equations Many problems that occur naturally involve finding solutions that satisfy systems of linear equations of the form a 11 x 1 + a 12 x 2 + + a 1n x n = b 1 a 21 x 1 + a 22 x

More information

Introduction to Crucifers (Brassicaceae)

Introduction to Crucifers (Brassicaceae) Oilseed rape (Brassica napus) Introduction to Crucifers (Brassicaceae) Tim Rich Brassicaceae (Cruciferae) - Crucifers c. 3500 species in 350 genera Lots of recent taxonomic changes in genera from DNA Found

More information

SIMPLIFIED CALCULATION OF PRINCIPAL COMPONENTS HAROLD HOTELLING

SIMPLIFIED CALCULATION OF PRINCIPAL COMPONENTS HAROLD HOTELLING PSYCHOMETRIKA--VOL. 1, NO. 1 SIMPLIFIED CALCULATION OF PRINCIPAL COMPONENTS HAROLD HOTELLING The resolution of a set of n tests or other variates into components 7~, each of which accounts for the greatest

More information

Which line, A to D, in the table gives correct expressions for the mass of the planet and the gravitational field strength at its surface?

Which line, A to D, in the table gives correct expressions for the mass of the planet and the gravitational field strength at its surface? 1 spherical planet of uniform density ρ has radius R. Which line, to, in the table gives correct expressions for the mass of the planet and the gravitational field strength at its surface? mass of planet

More information

Structure and Bonding of Organic Molecules

Structure and Bonding of Organic Molecules Chem 220 Notes Page 1 Structure and Bonding of Organic Molecules I. Types of Chemical Bonds A. Why do atoms forms bonds? Atoms want to have the same number of electrons as the nearest noble gas atom (noble

More information

Intermediate Algebra. Gregg Waterman Oregon Institute of Technology

Intermediate Algebra. Gregg Waterman Oregon Institute of Technology Intermediate Algebra Gregg Waterman Oregon Institute of Technology c 2017 Gregg Waterman This work is licensed under the Creative Commons Attribution 4.0 International license. The essence of the license

More information

Which one of the following graphs correctly shows the relationship between potential difference (V) and current (I) for a filament lamp?

Which one of the following graphs correctly shows the relationship between potential difference (V) and current (I) for a filament lamp? Questions Q1. Select one answer from A to D and put a cross in the box ( ) Which one of the following graphs correctly shows the relationship between potential difference (V) and current (I) for a filament

More information

Dr. Relja Vulanovic Professor of Mathematics Kent State University at Stark c 2008

Dr. Relja Vulanovic Professor of Mathematics Kent State University at Stark c 2008 MATH-LITERACY MANUAL Dr. Relja Vulanovic Professor of Mathematics Kent State University at Stark c 2008 2 Algebraic Epressions 2.1 Terms and Factors 29 2.2 Types of Algebraic Epressions 32 2.3 Transforming

More information

A handful of primary features are useful for distinguishing water primrose (Ludwigia) from other plants. Understand what to look for, such as leaf

A handful of primary features are useful for distinguishing water primrose (Ludwigia) from other plants. Understand what to look for, such as leaf A handful of primary features are useful for distinguishing water primrose (Ludwigia) from other plants. Understand what to look for, such as leaf arrangement and number of petals. Pairing morphological

More information

Know Your Uncertainty

Know Your Uncertainty April 2000 METROLOGY Know Your Uncertainty Understanding and documenting measurement uncertainty is key to gage calibration. By Henrik S. Nielsen, Ph.D. The process of developing uncertainty budgets requires

More information

Linear Equations. 196 minutes. 191 marks. Page 1 of 50

Linear Equations. 196 minutes. 191 marks. Page 1 of 50 Linear Equations 196 minutes 191 marks Page 1 of 50 Q1. The perimeter of this L-shape is 56 cm. Not drawn accurately Set up and solve an equation to work out the value of x. x =... (Total 4 marks) Page

More information

CMU CS 462/662 (INTRO TO COMPUTER GRAPHICS) HOMEWORK 0.0 MATH REVIEW/PREVIEW LINEAR ALGEBRA

CMU CS 462/662 (INTRO TO COMPUTER GRAPHICS) HOMEWORK 0.0 MATH REVIEW/PREVIEW LINEAR ALGEBRA CMU CS 462/662 (INTRO TO COMPUTER GRAPHICS) HOMEWORK 0.0 MATH REVIEW/PREVIEW LINEAR ALGEBRA Andrew ID: ljelenak August 25, 2018 This assignment reviews basic mathematical tools you will use throughout

More information

Mark Scheme (Results) January Pearson Edexcel International GCSE In Further Pure Mathematics (4PM0) Paper 1

Mark Scheme (Results) January Pearson Edexcel International GCSE In Further Pure Mathematics (4PM0) Paper 1 Mark Scheme (Results) January 07 Pearson Edexcel International GCSE In Further Pure Mathematics (4PM0) Paper Edexcel and BTEC Qualifications Edexcel and BTEC qualifications are awarded by Pearson, the

More information

1 Measurement Uncertainties

1 Measurement Uncertainties 1 Measurement Uncertainties (Adapted stolen, really from work by Amin Jaziri) 1.1 Introduction No measurement can be perfectly certain. No measuring device is infinitely sensitive or infinitely precise.

More information

Uncertainty Principle Applied to Focused Fields and the Angular Spectrum Representation

Uncertainty Principle Applied to Focused Fields and the Angular Spectrum Representation Uncertainty Principle Applied to Focused Fields and the Angular Spectrum Representation Manuel Guizar, Chris Todd Abstract There are several forms by which the transverse spot size and angular spread of

More information

Numbers, proof and all that jazz.

Numbers, proof and all that jazz. CHAPTER 1 Numbers, proof and all that jazz. There is a fundamental difference between mathematics and other sciences. In most sciences, one does experiments to determine laws. A law will remain a law,

More information

FACTORIZATION AND THE PRIMES

FACTORIZATION AND THE PRIMES I FACTORIZATION AND THE PRIMES 1. The laws of arithmetic The object of the higher arithmetic is to discover and to establish general propositions concerning the natural numbers 1, 2, 3,... of ordinary

More information

= 5 2 and = 13 2 and = (1) = 10 2 and = 15 2 and = 25 2

= 5 2 and = 13 2 and = (1) = 10 2 and = 15 2 and = 25 2 BEGINNING ALGEBRAIC NUMBER THEORY Fermat s Last Theorem is one of the most famous problems in mathematics. Its origin can be traced back to the work of the Greek mathematician Diophantus (third century

More information

Practical Algebra. A Step-by-step Approach. Brought to you by Softmath, producers of Algebrator Software

Practical Algebra. A Step-by-step Approach. Brought to you by Softmath, producers of Algebrator Software Practical Algebra A Step-by-step Approach Brought to you by Softmath, producers of Algebrator Software 2 Algebra e-book Table of Contents Chapter 1 Algebraic expressions 5 1 Collecting... like terms 5

More information

The Integers. Math 3040: Spring Contents 1. The Basic Construction 1 2. Adding integers 4 3. Ordering integers Multiplying integers 12

The Integers. Math 3040: Spring Contents 1. The Basic Construction 1 2. Adding integers 4 3. Ordering integers Multiplying integers 12 Math 3040: Spring 2011 The Integers Contents 1. The Basic Construction 1 2. Adding integers 4 3. Ordering integers 11 4. Multiplying integers 12 Before we begin the mathematics of this section, it is worth

More information

Uncertainty, Error, and Precision in Quantitative Measurements an Introduction 4.4 cm Experimental error

Uncertainty, Error, and Precision in Quantitative Measurements an Introduction 4.4 cm Experimental error Uncertainty, Error, and Precision in Quantitative Measurements an Introduction Much of the work in any chemistry laboratory involves the measurement of numerical quantities. A quantitative measurement

More information

Electromagnetic Induction

Electromagnetic Induction Lab 9. Electromagnetic Induction Goals To understand what it means to have magnetic flux through a loop or coil in a circuit. To understand and apply Lenz s law and the right hand rule for magnetic fields

More information

Time: 1 hour 30 minutes

Time: 1 hour 30 minutes Paper Reference(s) 6663/0 Edecel GCE Core Mathematics C Silver Level S Time: hour 30 minutes Materials required for eamination Mathematical Formulae (Green) Items included with question papers Nil Candidates

More information

Week 2 Techniques of Integration

Week 2 Techniques of Integration Week Techniques of Integration Richard Earl Mathematical Institute, Oxford, OX LB, October Abstract Integration by Parts. Substitution. Rational Functions. Partial Fractions. Trigonometric Substitutions.

More information

Binary addition (1-bit) P Q Y = P + Q Comments Carry = Carry = Carry = Carry = 1 P Q

Binary addition (1-bit) P Q Y = P + Q Comments Carry = Carry = Carry = Carry = 1 P Q Digital Arithmetic In Chapter 2, we have discussed number systems such as binary, hexadecimal, decimal, and octal. We have also discussed sign representation techniques, for example, sign-bit representation

More information

MA 1B PRACTICAL - HOMEWORK SET 3 SOLUTIONS. Solution. (d) We have matrix form Ax = b and vector equation 4

MA 1B PRACTICAL - HOMEWORK SET 3 SOLUTIONS. Solution. (d) We have matrix form Ax = b and vector equation 4 MA B PRACTICAL - HOMEWORK SET SOLUTIONS (Reading) ( pts)[ch, Problem (d), (e)] Solution (d) We have matrix form Ax = b and vector equation 4 i= x iv i = b, where v i is the ith column of A, and 4 A = 8

More information

Electric Fields. Goals. Introduction

Electric Fields. Goals. Introduction Lab 2. Electric Fields Goals To understand how contour lines of equal voltage, which are easily measured, relate to the electric field produced by electrically charged objects. To learn how to identify

More information

1 Measurement Uncertainties

1 Measurement Uncertainties 1 Measurement Uncertainties (Adapted stolen, really from work by Amin Jaziri) 1.1 Introduction No measurement can be perfectly certain. No measuring device is infinitely sensitive or infinitely precise.

More information

PMT. GCE Mathematics (MEI) Unit 4761: Mechanics 1. Advanced Subsidiary GCE. Mark Scheme for June Oxford Cambridge and RSA Examinations

PMT. GCE Mathematics (MEI) Unit 4761: Mechanics 1. Advanced Subsidiary GCE. Mark Scheme for June Oxford Cambridge and RSA Examinations GCE Mathematics (MEI) Unit 4761: Mechanics 1 Advanced Subsidiary GCE Mark Scheme for June 016 Oxford Cambridge and RSA Examinations OCR (Oxford Cambridge and RSA) is a leading UK awarding body, providing

More information

Examiner's Report Q1.

Examiner's Report Q1. Examiner's Report Q1. For students who were comfortable with the pair of inequality signs, part (a) proved to be straightforward. Most solved the inequalities by operating simultaneously on both sets and

More information

Time: 1 hour 30 minutes

Time: 1 hour 30 minutes Paper Reference(s) 666/01 Edexcel GCE Core Mathematics C1 Silver Level S4 Time: 1 hour 0 minutes Materials required for examination Mathematical Formulae (Green) Items included with question papers Nil

More information

A primer on matrices

A primer on matrices A primer on matrices Stephen Boyd August 4, 2007 These notes describe the notation of matrices, the mechanics of matrix manipulation, and how to use matrices to formulate and solve sets of simultaneous

More information

European Union Community Plant Variety Office

European Union Community Plant Variety Office European Union Community Plant Variety Office PROTOCOL FOR DISTINCTNESS, UNIFORMITY AND STABILITY TESTS Portulaca oleracea L. PORTULACA UPOV Species Code: PORTU_OLE Adopted on 16/10/2008 Entered into force

More information

MATHEMATICS Paper 980/11 Paper 11 General comments It is pleasing to record improvement in some of the areas mentioned in last year s report. For example, although there were still some candidates who

More information

Math 138: Introduction to solving systems of equations with matrices. The Concept of Balance for Systems of Equations

Math 138: Introduction to solving systems of equations with matrices. The Concept of Balance for Systems of Equations Math 138: Introduction to solving systems of equations with matrices. Pedagogy focus: Concept of equation balance, integer arithmetic, quadratic equations. The Concept of Balance for Systems of Equations

More information

NEUTRIX CALCULUS I NEUTRICES AND DISTRIBUTIONS 1) J. G. VAN DER CORPUT. (Communicated at the meeting of January 30, 1960)

NEUTRIX CALCULUS I NEUTRICES AND DISTRIBUTIONS 1) J. G. VAN DER CORPUT. (Communicated at the meeting of January 30, 1960) MATHEMATICS NEUTRIX CALCULUS I NEUTRICES AND DISTRIBUTIONS 1) BY J. G. VAN DER CORPUT (Communicated at the meeting of January 30, 1960) It is my intention to give in this lecture an exposition of a certain

More information

GCE Mathematics (MEI) Mark Scheme for June Unit 4755: Further Concepts for Advanced Mathematics. Advanced Subsidiary GCE

GCE Mathematics (MEI) Mark Scheme for June Unit 4755: Further Concepts for Advanced Mathematics. Advanced Subsidiary GCE GCE Mathematics (MEI) Unit 4755: Further Concepts for Advanced Mathematics Advanced Subsidiary GCE Mark Scheme for June 015 Oxford Cambridge and RSA Examinations OCR (Oxford Cambridge and RSA) is a leading

More information

Examiners Report Principal Examiner Feedback. Summer Pearson Edexcel International GCSE In Mathematics B (4MP0) Paper 02

Examiners Report Principal Examiner Feedback. Summer Pearson Edexcel International GCSE In Mathematics B (4MP0) Paper 02 Examiners Report Principal Examiner Feedback Summer 2017 Pearson Edexcel International GCSE In Mathematics B (4MP0) Paper 02 Edexcel and BTEC Qualifications Edexcel and BTEC qualifications are awarded

More information

B [1] DF: decreases as greater proportion of voltage across fixed / 10 k Ω resistor no CE from first mark. B1 allow watt per amp

B [1] DF: decreases as greater proportion of voltage across fixed / 10 k Ω resistor no CE from first mark. B1 allow watt per amp Mark schemes B [] (a) (i) /R total = /(40) +/(0+5) = 0.0967 R total = 0.9 kω I = / 0.9 k =. ma (b) position pd / V AC 6.0 DF 4.0 CD.0 C.E. for CD (c) (i) AC: no change constant pd across resistors / parallel

More information

Chapter 1: Logic systems

Chapter 1: Logic systems Chapter 1: Logic systems 1: Logic gates Learning Objectives: At the end of this topic you should be able to: identify the symbols and truth tables for the following logic gates: NOT AND NAND OR NOR XOR

More information

Lab 5. Magnetic Fields

Lab 5. Magnetic Fields Lab 5. Magnetic Fields Goals To visualize the magnetic fields produced by several different configurations of simple bar magnets using iron filings. To use small magnetic compasses to trace out the magnetic

More information

A Level Further Mathematics B (MEI) Y435 Extra Pure Sample Question Paper SPECIMEN

A Level Further Mathematics B (MEI) Y435 Extra Pure Sample Question Paper SPECIMEN A Level Further Mathematics B (MEI) Y435 Extra Pure Sample Question Paper Date Morning/Afternoon Time allowed: 1 hour 15 minutes OCR supplied materials: Printed Answer Booklet Formulae Further Mathematics

More information

IMLEM Meet #3 January, Intermediate Mathematics League of Eastern Massachusetts

IMLEM Meet #3 January, Intermediate Mathematics League of Eastern Massachusetts IMLEM Meet #3 January, 2017 Intermediate Mathematics League of Eastern Massachusetts Category 1 Mystery 1) In a row of 21 seats numbered consecutively from 1 to 21 at the movie theatre, I sit in seat #13.

More information

UNIT 16 Algebra: Linear Equations Activities

UNIT 16 Algebra: Linear Equations Activities UNIT 16 Algebra: Linear Equations Activities Activities 16.1 Codebreakers 16.1 Sheet (Codewheel Rings) 16. Balancing Equations 16. Number Trick 16. Solving Equations 16.5 Magic Squares Notes and Solutions

More information

THE LOGIC OF COMPOUND STATEMENTS

THE LOGIC OF COMPOUND STATEMENTS CHAPTER 2 THE LOGIC OF COMPOUND STATEMENTS Copyright Cengage Learning. All rights reserved. SECTION 2.4 Application: Digital Logic Circuits Copyright Cengage Learning. All rights reserved. Application:

More information

Massachusetts Tests for Educator Licensure (MTEL )

Massachusetts Tests for Educator Licensure (MTEL ) Massachusetts Tests for Educator Licensure (MTEL ) BOOKLET 2 Mathematics Subtest Copyright 2010 Pearson Education, Inc. or its affiliate(s). All rights reserved. Evaluation Systems, Pearson, P.O. Box 226,

More information

Lab 6. RC Circuits. Switch R 5 V. ower upply. Voltmete. Capacitor. Goals. Introduction

Lab 6. RC Circuits. Switch R 5 V. ower upply. Voltmete. Capacitor. Goals. Introduction Switch ower upply Lab 6. RC Circuits + + R 5 V Goals Capacitor V To appreciate the capacitor as a charge storage device. To measure the voltage across a capacitor as it discharges through a resistor, and

More information

Lab 5. Magnetic Fields

Lab 5. Magnetic Fields Lab 5. Magnetic Fields Goals To visualize the magnetic fields produced by several different configurations of simple bar magnets using iron filings. To use small magnetic compasses to trace out the magnetic

More information

Example Candidate Responses. Cambridge O Level Mathematics (Syllabus D)

Example Candidate Responses. Cambridge O Level Mathematics (Syllabus D) Example Candidate Responses Cambridge O Level Mathematics (Syllabus D) 4024 Cambridge International Examinations retains the copyright on all its publications. Registered Centres are permitted to copy

More information

Lab 5. Simple Pendulum

Lab 5. Simple Pendulum Lab 5. Simple Pendulum Goals To design and perform experiments that show what factors, or parameters, affect the time required for one oscillation of a compact mass attached to a light string (a simple

More information

A-LEVEL STATISTICS. SS04 Report on the Examination June Version: 1.0

A-LEVEL STATISTICS. SS04 Report on the Examination June Version: 1.0 A-LEVEL STATISTICS SS04 Report on the Examination 6380 June 2016 Version: 1.0 Further copies of this Report are available from aqa.org.uk Copyright 2016 AQA and its licensors. All rights reserved. AQA

More information

Principal Moderator s Report

Principal Moderator s Report Principal Moderator s Report Centres are reminded that the deadline for coursework marks (and scripts if there are 10 or fewer from the centre) is December 10 for this specification. Moderators were pleased

More information

Basic Combinatorics. Math 40210, Section 01 Fall Homework 8 Solutions

Basic Combinatorics. Math 40210, Section 01 Fall Homework 8 Solutions Basic Combinatorics Math 4010, Section 01 Fall 01 Homework 8 Solutions 1.8.1 1: K n has ( n edges, each one of which can be given one of two colors; so Kn has (n -edge-colorings. 1.8.1 3: Let χ : E(K k

More information

Essex County College Division of Mathematics MTH-122 Assessments. Honor Code

Essex County College Division of Mathematics MTH-122 Assessments. Honor Code Essex County College Division of Mathematics MTH-22 Assessments Last Name: First Name: Phone or email: Honor Code The Honor Code is a statement on academic integrity, it articulates reasonable expectations

More information

PRACTICE TEST ANSWER KEY & SCORING GUIDELINES GRADE 8 MATHEMATICS

PRACTICE TEST ANSWER KEY & SCORING GUIDELINES GRADE 8 MATHEMATICS Ohio s State Tests PRACTICE TEST ANSWER KEY & SCORING GUIDELINES GRADE 8 MATHEMATICS Table of Contents Questions 1 25: Content Summary and Answer Key... iii Question 1: Question and Scoring Guidelines...

More information

Midterm Review Honors ICM Name: Per: Remember to show work to receive credit! Circle your answers! Sets and Probability

Midterm Review Honors ICM Name: Per: Remember to show work to receive credit! Circle your answers! Sets and Probability Midterm Review Honors ICM Name: Per: Remember to show work to receive credit! Circle your answers! Unit 1 Sets and Probability 1. Let U denote the set of all the students at Green Hope High. Let D { x

More information

4751 Mark Scheme June Mark Scheme 4751 June 2005

4751 Mark Scheme June Mark Scheme 4751 June 2005 475 Mark Scheme June 2005 Mark Scheme 475 June 2005 475 Mark Scheme June 2005 Section A 40 2 M subst of for x or attempt at long divn with x x 2 seen in working; 0 for attempt at factors by inspection

More information

6664/01 Edexcel GCE Core Mathematics C2 Bronze Level B3

6664/01 Edexcel GCE Core Mathematics C2 Bronze Level B3 Paper Reference(s) 666/01 Edecel GCE Core Mathematics C Bronze Level B Time: 1 hour 0 minutes Materials required for eamination papers Mathematical Formulae (Green) Items included with question Nil Candidates

More information

A-LEVEL PHYSICS A. PHA6T Investigative and Practical Skills in A2 Physics (ISA) Report on the Examination June Version: 0.

A-LEVEL PHYSICS A. PHA6T Investigative and Practical Skills in A2 Physics (ISA) Report on the Examination June Version: 0. A-LEVEL PHYSICS A PHA6T Investigative and Practical Skills in A2 Physics (ISA) Report on the Examination 2450 June 2014 Version: 0.1 Further copies of this Report are available from aqa.org.uk Copyright

More information

Queens College, CUNY, Department of Computer Science Numerical Methods CSCI 361 / 761 Spring 2018 Instructor: Dr. Sateesh Mane.

Queens College, CUNY, Department of Computer Science Numerical Methods CSCI 361 / 761 Spring 2018 Instructor: Dr. Sateesh Mane. Queens College, CUNY, Department of Computer Science Numerical Methods CSCI 361 / 761 Spring 2018 Instructor: Dr. Sateesh Mane c Sateesh R. Mane 2018 3 Lecture 3 3.1 General remarks March 4, 2018 This

More information

Polynomials; Add/Subtract

Polynomials; Add/Subtract Chapter 7 Polynomials Polynomials; Add/Subtract Polynomials sounds tough enough. But, if you look at it close enough you ll notice that students have worked with polynomial expressions such as 6x 2 + 5x

More information

Time: 1 hour 30 minutes

Time: 1 hour 30 minutes Paper Reference(s) 6664/0 Edexcel GCE Core Mathematics C Bronze Level B Time: hour 0 minutes Materials required for examination Mathematical Formulae (Green) Items included with question papers Nil Candidates

More information

9.2 Multiplication Properties of Radicals

9.2 Multiplication Properties of Radicals Section 9.2 Multiplication Properties of Radicals 885 9.2 Multiplication Properties of Radicals Recall that the equation x 2 = a, where a is a positive real number, has two solutions, as indicated in Figure

More information

1 Matrices and Systems of Linear Equations. a 1n a 2n

1 Matrices and Systems of Linear Equations. a 1n a 2n March 31, 2013 16-1 16. Systems of Linear Equations 1 Matrices and Systems of Linear Equations An m n matrix is an array A = (a ij ) of the form a 11 a 21 a m1 a 1n a 2n... a mn where each a ij is a real

More information

STUDY GUIDE Math 20. To accompany Intermediate Algebra for College Students By Robert Blitzer, Third Edition

STUDY GUIDE Math 20. To accompany Intermediate Algebra for College Students By Robert Blitzer, Third Edition STUDY GUIDE Math 0 To the students: To accompany Intermediate Algebra for College Students By Robert Blitzer, Third Edition When you study Algebra, the material is presented to you in a logical sequence.

More information

UNC Charlotte 2004 Algebra with solutions

UNC Charlotte 2004 Algebra with solutions with solutions March 8, 2004 1. Let z denote the real number solution to of the digits of z? (A) 13 (B) 14 (C) 15 (D) 16 (E) 17 3 + x 1 = 5. What is the sum Solution: E. Square both sides twice to get

More information

NUMERICAL METHODS C. Carl Gustav Jacob Jacobi 10.1 GAUSSIAN ELIMINATION WITH PARTIAL PIVOTING

NUMERICAL METHODS C. Carl Gustav Jacob Jacobi 10.1 GAUSSIAN ELIMINATION WITH PARTIAL PIVOTING 0. Gaussian Elimination with Partial Pivoting 0.2 Iterative Methods for Solving Linear Systems 0.3 Power Method for Approximating Eigenvalues 0.4 Applications of Numerical Methods Carl Gustav Jacob Jacobi

More information

Some Review Problems for Exam 2: Solutions

Some Review Problems for Exam 2: Solutions Math 5366 Fall 017 Some Review Problems for Exam : Solutions 1 Find the coefficient of x 15 in each of the following: 1 (a) (1 x) 6 Solution: 1 (1 x) = ( ) k + 5 x k 6 k ( ) ( ) 0 0 so the coefficient

More information

Time: 1 hour 30 minutes

Time: 1 hour 30 minutes Paper Reference(s) 666/0 Edexcel GCE Core Mathematics C Bronze Level B4 Time: hour 0 minutes Materials required for examination Mathematical Formulae (Green) Items included with question papers Nil Candidates

More information

number. However, unlike , three of the digits of N are 3, 4 and 5, and N is a multiple of 6.

number. However, unlike , three of the digits of N are 3, 4 and 5, and N is a multiple of 6. C1. The positive integer N has six digits in increasing order. For example, 124 689 is such a number. However, unlike 124 689, three of the digits of N are 3, 4 and 5, and N is a multiple of 6. How many

More information

CHAPTER 2. The Simplex Method

CHAPTER 2. The Simplex Method CHAPTER 2 The Simplex Method In this chapter we present the simplex method as it applies to linear programming problems in standard form. 1. An Example We first illustrate how the simplex method works

More information

CHAPTER 3: THE INTEGERS Z

CHAPTER 3: THE INTEGERS Z CHAPTER 3: THE INTEGERS Z MATH 378, CSUSM. SPRING 2009. AITKEN 1. Introduction The natural numbers are designed for measuring the size of finite sets, but what if you want to compare the sizes of two sets?

More information

Example: x 10-2 = ( since 10 2 = 100 and [ 10 2 ] -1 = 1 which 100 means divided by 100)

Example: x 10-2 = ( since 10 2 = 100 and [ 10 2 ] -1 = 1 which 100 means divided by 100) Scientific Notation When we use 10 as a factor 2 times, the product is 100. 10 2 = 10 x 10 = 100 second power of 10 When we use 10 as a factor 3 times, the product is 1000. 10 3 = 10 x 10 x 10 = 1000 third

More information

Lies My Calculator and Computer Told Me

Lies My Calculator and Computer Told Me Lies My Calculator and Computer Told Me 2 LIES MY CALCULATOR AND COMPUTER TOLD ME Lies My Calculator and Computer Told Me See Section.4 for a discussion of graphing calculators and computers with graphing

More information

Finite Fields: An introduction through exercises Jonathan Buss Spring 2014

Finite Fields: An introduction through exercises Jonathan Buss Spring 2014 Finite Fields: An introduction through exercises Jonathan Buss Spring 2014 A typical course in abstract algebra starts with groups, and then moves on to rings, vector spaces, fields, etc. This sequence

More information

The Use of Large Intervals in Finite- Difference Equations

The Use of Large Intervals in Finite- Difference Equations 14 USE OF LARGE INTERVALS IN FINITE-DIFFERENCE EQUATIONS up with A7! as a free parameter which can be typed into the machine as occasion demands, no further information being needed. This elaboration of

More information

European Union Community Plant Variety Office

European Union Community Plant Variety Office European Union Community Plant Variety Office PROTOCOL FOR DISTINCTNESS, UNIFORMITY AND STABILITY TESTS Eustoma grandiflorum (Raf.) Shinners EUSTOMA (LISIANTHUS) UPOV Species Code: EUSTO_GRA Adopted on

More information

GCE Mathematics (MEI) Mark Scheme for June Unit 4757: Further Applications of Advanced Mathematics. Advanced GCE PMT

GCE Mathematics (MEI) Mark Scheme for June Unit 4757: Further Applications of Advanced Mathematics. Advanced GCE PMT GCE Mathematics (MEI) Unit 757: Further Applications of Advanced Mathematics Advanced GCE Mark Scheme for June 015 Oxford Cambridge and RSA Examinations OCR (Oxford Cambridge and RSA) is a leading UK awarding

More information

Switch + R. ower upply. Voltmete. Capacitor. Goals. Introduction

Switch + R. ower upply. Voltmete. Capacitor. Goals. Introduction Lab 6. Switch RC Circuits ower upply Goals To appreciate the capacitor as a charge storage device. To measure the voltage across a capacitor as it discharges through a resistor, and to compare + the result

More information

cib DIPLOMA PROGRAMME

cib DIPLOMA PROGRAMME cib DIPLOMA PROGRAMME PROGRAMME DU DIPLÔME DU BI PROGRAMA DEL DIPLOMA DEL BI M06/5/MATSD/SP1/ENG/TZ0/XX/M+ MARKSCHEME May 006 MATHEMATICAL STUDIES Standard Level Paper 1 5 pages M06/5/MATSD/SP1/ENG/TZ0/XX/M+

More information

Examiners Report/ Principal Examiner Feedback. June GCE Core Mathematics C2 (6664) Paper 1

Examiners Report/ Principal Examiner Feedback. June GCE Core Mathematics C2 (6664) Paper 1 Examiners Report/ Principal Examiner Feedback June 011 GCE Core Mathematics C (6664) Paper 1 Edexcel is one of the leading examining and awarding bodies in the UK and throughout the world. We provide a

More information

PMT. GCE Mathematics (MEI) Unit 4753: Methods for Advanced Mathematics. Advanced GCE. Mark Scheme for June Oxford Cambridge and RSA Examinations

PMT. GCE Mathematics (MEI) Unit 4753: Methods for Advanced Mathematics. Advanced GCE. Mark Scheme for June Oxford Cambridge and RSA Examinations GCE Mathematics (MEI) Unit 4753: Methods for Advanced Mathematics Advanced GCE Mark Scheme for June 014 Oxford Cambridge and RSA Examinations 4753 Mark Scheme June 014 1. Annotations and abbreviations

More information

Stability of Feedback Control Systems: Absolute and Relative

Stability of Feedback Control Systems: Absolute and Relative Stability of Feedback Control Systems: Absolute and Relative Dr. Kevin Craig Greenheck Chair in Engineering Design & Professor of Mechanical Engineering Marquette University Stability: Absolute and Relative

More information

ESTIMATION OF CONSERVATISM OF CHARACTERS BY CONSTANCY WITHIN BIOLOGICAL POPULATIONS

ESTIMATION OF CONSERVATISM OF CHARACTERS BY CONSTANCY WITHIN BIOLOGICAL POPULATIONS ESTIMATION OF CONSERVATISM OF CHARACTERS BY CONSTANCY WITHIN BIOLOGICAL POPULATIONS JAMES S. FARRIS Museum of Zoology, The University of Michigan, Ann Arbor Accepted March 30, 1966 The concept of conservatism

More information