The normal distribution Mixed exercise 3
|
|
- Vincent Myles Heath
- 6 years ago
- Views:
Transcription
1 The normal distribution Mixed exercise 3 ~ N(78, 4 ) a Using the normal CD function, P( 85) (4 d.p.) b Using the normal CD function, P( 8) The probability that three men, selected at random, all satisfy this criterion is 3 P( 8) (4 d.p.). c Using the inverse normal function, P( h).5 h To the nearest centimetre, the height of a door frame needs to be at least 88 cm. W ~ N(3.5,. ) a Using the normal CD function, P( W 3) The percentage of sheets weighing less than 3kg is.8% (3 s.f.). b Using the normal CD function, P(3.6 W 34.8) So 5.% of sheets satisfy Bob s requirements. 3 T ~ N(48, 8 ) a Using the normal CD function, P( T 6) The probability that a battery will last for more than 6 hours is.668 (4 d.p.). b Using the normal CD function, P( T 35) The probability that a battery will last for less than 35 hours is.5 (4 d.p.). c Use the binomial distribution X B(3,.58...) Using the binomial CD function, P( X 3) The probability that three or fewer last less than 35 hours is.935 (4 d.p.). Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free.
2 4 X ~ N(4, ) a 3 P( X 3).5 P Z.5 Using the inverse normal function, z so (3 s.f.) b Using the normal CD function, P( X ) (3 d.p.) c d P( X d). P Z. Using the inverse normal function, z d 4 so d (3 s.f.) Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free.
3 5 L ~ N(, ) a 4 P( L 4). P Z. Using the inverse normal function, z so So the standard deviation of the volume dispensed is 8.6 ml (3 s.f.). b Using the normal CD function, P( L ) The probability that the machine dispenses less than ml is. (3 s.f.). c c P( L c). P Z. Using the inverse normal function, z c so c To the nearest millilitre, the largest volume leading to a complaint is 9 ml. Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free. 3
4 6 a P( X ).5 and P( X 4).75 Using the inverse normal function (or the percentage points table), P( X ).5 P Z.5 z P( X 4).75 P Z.75 z So.6745 ( ) and ( ) ( ) ( ): Substituting into ( ): So 3 and 4.8 (3 s.f.) b Using the inverse normal CD function with 3 and , P( X a). a and P( X b).9 b So the % to 9% interpercentile range is P( 5). P 5 Z. z P( 4).5 P Z.5 z So Subtract cm (3 s. f.) cm 8 a b T ~ N(8, ) Using the normal CD function, P( T 85) (4 d.p.) S ~ N(, 5 ) Using the normal CD function, P( S 5) (4 d.p.) c The student s score on the first test was better, since fewer of the students got this score or higher. Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free. 4
5 9 J ~ N(8, ) a P( J ).3 P Z.3 Using the inverse normal function, z so g 3 s.f.. The standard deviation is 4.5 g (3 s.f.). b Using the normal CD function, P( J 5) (3 d.p.) c Use the binomial distribution X B(5,.5) Using the binomial CD function, P( X ) (4 d.p.) T N(, 3.8 ) and P( T 5).446 X a P( T 5).446 P Z. 446 z. 7 5 so minutes (3 s.f.) b P( T 5) P Z 3.8 P( Z.93...) (4 d.p.) Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free. 5
6 T N(, ) Using the inverse normal function, 7 P( T 7).986 P Z.986 z P( T 5.). P Z. z So. 7 ( ) and ( ) ( ) ( ): Substituting into ( ): So the mean thickness of the shelving is 6. mm and the standard deviation is.398 mm (3 s.f.). Let X = number of heads in 6 tosses of a fair coin, so X ~ B(6,.5). Since p =.5 and 6 is large, X can be approximated by the normal distribution where and So Y N(3,5) P( X 5) P ( Y 4.5) (3 s.f. ) Y N(, ), 3 a The distribution is binomial, B(,.4). The binomial distribution can be approximated by the normal distribution when n is large (> 5) and p is close to.5. ere n = and p =.4 so both of these conditions are satisfied. b np.4 4 and np( p ) (4 s.f.) c P( X 5) P( Y 49.5) (3 s. f.) 4 a P( X ).467 (4 s.f.) or.47 (4 d.p.) b The distribution satisfies the two necessary conditions for an approximation by a normal distribution to be valid: n = is large (> 5) and p =.46 is close to.5. np and np( p ) (4 s.f.) Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free. 6
7 4 c Y N(55., 5.46 ) Using the normal CD function, P( X 65) P(64.5 Y 65.5) Percentage error.7% a The distribution satisfies the two necessary conditions for an approximation by a normal distribution to be valid: n = 3 is large (> 5) and p =.6 is close to.5. b np and np( p ) (4 s.f.) So Y N(8,8.485 ). P(5 Y 8) P(5.5 N 8.5) (4 s.f.) c Using the inverse normal distribution, P( N a).5 a 66.4 So P( N 66.5).5 and P( N 65.5).5 So 65.5 y 66.5, i.e. the smallest value of y such that P( Y y).5 is y = The distribution satisfies the two necessary conditions for an approximation by a normal distribution to be valid: n = 8 is large (> 5) and p =.4 is close to.5. np and np( p ) (4 s.f.) SoY N(3, 4.38 ) P( X 3) P( Y 3.5) (4 s.f.) 7 a Use the binomial distribution X B(,.55) Using the binomial CD function, P( X ) P( X ) (4 s.f.) b A normal approximation is valid since n = is large (> 5) and p =.55 is close to.5. np.55 and np( p ) (4 s.f.) So Y N(, 7.36 ) P( X 95) P( Y 95.5) (3 s.f.) c It seems unlikely that the company s claim is correct: if it were true, the chance of only 95 (or fewer) seedlings producing apples from a sample of seedlings would be less than %. 8 a Use the binomial distribution X B(5,.5) Using the binomial CD function, P( X ) P( X ) (4 s.f.) b A normal approximation is valid since n = 3 is large (> 5) and p =.5 is close to.5. np and np( p ) (4 s.f.) So Y N(56,8.653 ) P( X 7) P( Y 69.5) (4 s.f.) c There is a greater than 5% chance that 7 people out of 3 would be cured, therefore there is insufficient evidence for the herbalist s claim that the new remedy is more effective than the original remedy. Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free. 7
8 9 X ~ N(, ) : 7, : 7, one-tailed test at the 5% level. Assume, so that Let Z X 7 5 X N(7, ) and X 7, 5 Using the inverse normal function, P( Z z).5 z.6449 X X So the critical region is X or 7.66cm (3 s.f.). Let B represent the amount of water in a bottle, so B ~ N(, ). : 5, : 5, one-tailed test at the 5% level. Assume, so that B N(5, ) and B 5, 5 Using the normal CD function, P( B 4.) (3 s.f.).67 >.5 so not significant, so accept. There is insufficient evidence to conclude that the mean content of a bottle is lower than the manufacturer s claim. Let B represent the breaking strength, so B ~ N(7.,.5 ). a Using the normal CD function, P(74.5 B 75.5) (3 s.f.) b.5 n 5 so B ~ N 7., 5 Using the normal CD function, P( B 7.4) (3 s.f.) c : 7., : 7. one-tailed test at the 5% level. Assume, so that B.5 N(7.,.5 ) and B 7., 5 (as before). Using the normal CD function, P( B 7.4) (3 s.f.).69 >.5 so not significant, so accept. There is insufficient evidence to conclude that the mean breaking strength is increased. Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free. 8
9 Let W represent the weight of sugar in a packet, so a W ~ N(, ). P W.95 P( W ).5 P Z.5 Using the inverse normal function, z so ( d.p.) b n 8 and x 89., so x :, :, two-tailed test with % in each tail. 6.3 Assume, so that W N(, 6.3) and W, 8 Using the normal CD function, P( W ) (3 s.f.).9 >. so not significant, so accept. There is insufficient evidence of a deviation in the mean from, so we can assume that condition i is being met. 3 Let D represent the diameter of a little-gull egg, so D ~ N(4.,.9 ). a Using the normal CD function, P(3.9 D 4.5) (4 s.f.) b.9, n 8, d 34.5, d 4.35 : 4., : 4., two-tailed test with.5% in each tail. Assume, so that.9 D ~ N(4.,.9 ) and D ~ 4., Using the normal CD function, P( D 4.35) ( s.f.).3 <.5 so significant, so reject. There is evidence that the mean diameter of eggs from this island is different from elsewhere. 4 X ~N, 8 a ~ N, X n Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free. 9
10 5 P 5 P Z Require P n n Z.95 P Z Using the inverse normal function, z n so n n So a sample of at least 8 is needed. 4 b X (by symmetry) Challenge a Use the binomial distribution X B(5,.48). Using the binomial CD function, P( X 8) P( X 8) (4 s.f.) b The distribution satisfies the two necessary conditions for an approximation by a normal distribution to be valid: n = 5 is large (> 5) and p =.48 is close to.5. np 5.48 and np( p ) (3 s.f.) Test to determine whether the mean is different from (the expected number of supporters based on the manager s claim): :, :, two-tailed test with.5% in each tail. 7.9 Assume, so that X ~ N(, 7.9 ) and X ~, 5 Using the inverse normal function, P( X x).5 x 4.56 and P( X x).5 x So the critical region approximated for the binomial distribution is X 5 or X 35. (Note: 5 lies in the critical region because, as part of the normal distribution, it includes the region between 4.5 and 5.5 and 4.53 is where the critical region starts. Similarly 35 lies in the critical region because, as part of the normal distribution, it includes the region between 34.5 and 35.5 and is where the critical region starts.) c Since 5, there is sufficient evidence to reject, i.e. there is sufficient evidence to say, at the 5% level, that the level of support for the manager is different from 48%. Pearson Education Ltd 7. Copying permitted for purchasing institution only. This material is not copyright free.
Exam-style practice: Paper 3, Section A: Statistics
Exam-style practice: Paper 3, Section A: Statistics a Use the cumulative binomial distribution tables, with n = 4 and p =.5. Then PX ( ) P( X ).5867 =.433 (4 s.f.). b In order for the normal approximation
More informationHypothesis testing Mixed exercise 4
Hypothesis testing Mixed exercise 4 1 a Let the random variable X denote the number of vehicles passing the point in a 1-minute period. 39 Use the Poisson distribution model X Po, i.e. X Po(.5).5 e.5 P(
More informationDiscrete and continuous
Discrete and continuous A curve, or a function, or a range of values of a variable, is discrete if it has gaps in it - it jumps from one value to another. In practice in S2 discrete variables are variables
More informationQuality of tests Mixed exercise 8
Quality of tests Mixed exercise 8 1 a H :p=.35 H 1 :p>.35 Assume H, so that X B(15,.35) Significance level 5%, so require c such that P( Xc)
More information550 = cleaners. Label the managers 1 55 and the cleaners Use random numbers to select 5 managers and 45 cleaners.
Review Exercise 1 1 a A census observes every member of a population. A disadvantage of a census is it would be time-consuming to get opinions from all the employees. OR It would be difficult/time-consuming
More informationPoisson distributions Mixed exercise 2
Poisson distributions Mixed exercise 2 1 a Let X be the number of accidents in a one-month period. Assume a Poisson distribution. So X ~Po(0.7) P(X =0)=e 0.7 =0.4966 (4 d.p.) b Let Y be the number of accidents
More information6/25/14. The Distribution Normality. Bell Curve. Normal Distribution. Data can be "distributed" (spread out) in different ways.
The Distribution Normality Unit 6 Sampling and Inference 6/25/14 Algebra 1 Ins2tute 1 6/25/14 Algebra 1 Ins2tute 2 MAFS.912.S-ID.1: Summarize, represent, and interpret data on a single count or measurement
More information(ii) at least once? Given that two red balls are obtained, find the conditional probability that a 1 or 6 was rolled on the die.
Probability Practice 2 (Discrete & Continuous Distributions) 1. A box contains 35 red discs and 5 black discs. A disc is selected at random and its colour noted. The disc is then replaced in the box. (a)
More informationChapter 6 Sampling Distributions
Chapter 6 Sampling Distributions Parameter and Statistic A is a numerical descriptive measure of a population. Since it is based on the observations in the population, its value is almost always unknown.
More informationIB Math Standard Level Probability Practice 2 Probability Practice 2 (Discrete& Continuous Distributions)
IB Math Standard Level Probability Practice Probability Practice (Discrete& Continuous Distributions). A box contains 5 red discs and 5 black discs. A disc is selected at random and its colour noted. The
More information2014 SM4 Revision Questions Distributions
2014 SM4 Revision Questions Distributions Normal Q1. Professor Halen has 184 students in his college mathematics class. The scores on the semester exam are normally distributed with a mean of 72.3 and
More informationSL - Binomial Questions
IB Questionbank Maths SL SL - Binomial Questions 262 min 244 marks 1. A random variable X is distributed normally with mean 450 and standard deviation 20. Find P(X 475). Given that P(X > a) = 0.27, find
More informationQ Scheme Marks AOs. 1a States or uses I = F t M1 1.2 TBC. Notes
Q Scheme Marks AOs Pearson 1a States or uses I = F t M1 1.2 TBC I = 5 0.4 = 2 N s Answer must include units. 1b 1c Starts with F = m a and v = u + at Substitutes to get Ft = m(v u) Cue ball begins at rest
More informationb (3 s.f.). b Make sure your hypotheses are clearly written using the parameter ρ:
Review exercise 1 1 a Produce a table for the values of log s and log t: log s.31.6532.7924.8633.959 log t.4815.67.2455.3324.4698 which produces r =.9992 b Since r is very close to 1, this indicates that
More information68% 95% 99.7% x x 1 σ. x 1 2σ. x 1 3σ. Find a normal probability
11.3 a.1, 2A.1.B TEKS Use Normal Distributions Before You interpreted probability distributions. Now You will study normal distributions. Why? So you can model animal populations, as in Example 3. Key
More information41.2. Tests Concerning a Single Sample. Introduction. Prerequisites. Learning Outcomes
Tests Concerning a Single Sample 41.2 Introduction This Section introduces you to the basic ideas of hypothesis testing in a non-mathematical way by using a problem solving approach to highlight the concepts
More informationMoments Mixed exercise 4
Moments Mixed exercise 4 1 a The plank is in equilibrium. Let the reaction forces at the supports be R and R D. Considering moments about point D: R (6 1.5 1) = (100+ 145) (3 1.5) 3.5R = 245 1.5 3.5R =
More information9 Mixed Exercise. vector equation is. 4 a
9 Mixed Exercise a AB r i j k j k c OA AB 7 i j 7 k A7,, and B,,8 8 AB 6 A vector equation is 7 r x 7 y z (i j k) j k a x y z a a 7, Pearson Education Ltd 7. Copying permitted for purchasing institution
More information( ) ( ) ( ) ( ) ( ) ( ) ( ) ( ) Trigonometric ratios 9E. b Using the line of symmetry through A. 1 a. cos 48 = 14.6 So y = 29.
Trigonometric ratios 9E a b Using the line of symmetry through A y cos.6 So y 9. cos 9. s.f. Using sin x sin 6..7.sin 6 sin x.7.sin 6 x sin.7 7.6 x 7.7 s.f. So y 0 6+ 7.7 6. y 6. s.f. b a Using sin sin
More informationProof by induction ME 8
Proof by induction ME 8 n Let f ( n) 9, where n. f () 9 8, which is divisible by 8. f ( n) is divisible by 8 when n =. Assume that for n =, f ( ) 9 is divisible by 8 for. f ( ) 9 9.9 9(9 ) f ( ) f ( )
More informationConstant acceleration, Mixed Exercise 9
Constant acceleration, Mixed Exercise 9 a 45 000 45 km h = m s 3600 =.5 m s 3 min = 80 s b s= ( a+ bh ) = (60 + 80).5 = 5 a The distance from A to B is 5 m. b s= ( a+ bh ) 5 570 = (3 + 3 + T ) 5 ( T +
More informationDescriptive Statistics and Probability Test Review Test on May 4/5
Descriptive Statistics and Probability Test Review Test on May 4/5 1. The following frequency distribution of marks has mean 4.5. Mark 1 2 3 4 5 6 7 Frequency 2 4 6 9 x 9 4 Find the value of x. Write down
More information1. A machine produces packets of sugar. The weights in grams of thirty packets chosen at random are shown below.
No Gdc 1. A machine produces packets of sugar. The weights in grams of thirty packets chosen at random are shown below. Weight (g) 9.6 9.7 9.8 9.9 30.0 30.1 30. 30.3 Frequency 3 4 5 7 5 3 1 Find unbiased
More informationSTAT 516 Midterm Exam 3 Friday, April 18, 2008
STAT 56 Midterm Exam 3 Friday, April 8, 2008 Name Purdue student ID (0 digits). The testing booklet contains 8 questions. 2. Permitted Texas Instruments calculators: BA-35 BA II Plus BA II Plus Professional
More informationS2 QUESTIONS TAKEN FROM JANUARY 2006, JANUARY 2007, JANUARY 2008, JANUARY 2009
S2 QUESTIONS TAKEN FROM JANUARY 2006, JANUARY 2007, JANUARY 2008, JANUARY 2009 SECTION 1 The binomial and Poisson distributions. Students will be expected to use these distributions to model a real-world
More informationMark Scheme (Results) Summer Pearson Edexcel GCE in Statistics 3 (6691/01)
Mark Scheme (Results) Summer 2014 Pearson Edexcel GCE in Statistics 3 (6691/01) Edexcel and BTEC Qualifications Edexcel and BTEC qualifications are awarded by Pearson, the UK s largest awarding body. We
More informationUnit 1 Answers. 1.1 Two-way tables and bar charts. 1.2 Averages and range. KS3 Maths Progress Delta 1
Unit 1 Answers 1.1 Two-way tables and bar charts 1 a, b, c, d mp3 mp4 Total Mahoud 17 12 29 Fahid 34 8 42 Total 51 20 71 2 a 3 b 8 dogs c fish d David s class b 40 students c e.g. Hockey; while fewer people
More informationGCSE Mathematics Non Calculator Foundation Tier Free Practice Set 1 1 hour 30 minutes ANSWERS. Marks shown in brackets for each question (2)
MathsMadeEasy 3 GCSE Mathematics Non Calculator Foundation Tier Free Practice Set 1 1 hour 30 minutes ANSWERS Marks shown in brackets for each question Grade Boundaries C D E F G 76 60 47 33 20 Legend
More informationChapter 3: Probability 3.1: Basic Concepts of Probability
Chapter 3: Probability 3.1: Basic Concepts of Probability Objectives Identify the sample space of a probability experiment and a simple event Use the Fundamental Counting Principle Distinguish classical
More informationTutorial 3 - Discrete Probability Distributions
Tutorial 3 - Discrete Probability Distributions 1. If X ~ Bin(6, ), find (a) P(X = 4) (b) P(X 2) 2. If X ~ Bin(8, 0.4), find (a) P(X = 2) (b) P(X = 0) (c)p(x > 6) 3. The probability that a pen drawn at
More informationPrinciples of Mathematics 12
Principles of Mathematics 12 Examination Booklet Sample 2007/08 Form A DO NOT OPEN ANY EXAMINATION MATERIALS UNTIL INSTRUCTED TO DO SO. FOR FURTHER INSTRUCTIONS REFER TO THE RESPONSE BOOKLET. Contents:
More informationTopic 5 Part 3 [257 marks]
Topic 5 Part 3 [257 marks] Let 0 3 A = ( ) and 2 4 4 0 B = ( ). 5 1 1a. AB. 1b. Given that X 2A = B, find X. The following table shows the probability distribution of a discrete random variable X. 2a.
More information11/16/2017. Chapter. Copyright 2009 by The McGraw-Hill Companies, Inc. 7-2
7 Chapter Continuous Probability Distributions Describing a Continuous Distribution Uniform Continuous Distribution Normal Distribution Normal Approximation to the Binomial Normal Approximation to the
More informationThe Central Limit Theorem
The Central Limit Theorem Suppose n tickets are drawn at random with replacement from a box of numbered tickets. The central limit theorem says that when the probability histogram for the sum of the draws
More informationTrigonometric Functions 6C
Trigonometric Functions 6C a b c d e sin 3 q æ ö ø 4 tan 6 q 4 æ ö tanq ø cos q æ ö ø 3 cosec 3 q - sin q sin q cos q sin q (using sin q + cos q ) So - sin q sin q æ ö ø 6 4cot 6 q sec q cot q secq cos
More informationCircles, Mixed Exercise 6
Circles, Mixed Exercise 6 a QR is the diameter of the circle so the centre, C, is the midpoint of QR ( 5) 0 Midpoint = +, + = (, 6) C(, 6) b Radius = of diameter = of QR = of ( x x ) + ( y y ) = of ( 5
More informationSampling, Confidence Interval and Hypothesis Testing
Sampling, Confidence Interval and Hypothesis Testing Christopher Grigoriou Executive MBA HEC Lausanne 2007-2008 1 Sampling : Careful with convenience samples! World War II: A statistical study to decide
More information1 a A census observes or measures every member of a population.
Data Collection A a A census observes or measures every member of a population. b An advantage is it that it will give a completely accurate result. A disadvantage could be any one from: It would be time
More informationFor use only in [the name of your school] 2014 S4 Note. S4 Notes (Edexcel)
s (Edexcel) Copyright www.pgmaths.co.uk - For AS, A2 notes and IGCSE / GCSE worksheets 1 Copyright www.pgmaths.co.uk - For AS, A2 notes and IGCSE / GCSE worksheets 2 Copyright www.pgmaths.co.uk - For AS,
More informationMathematical Methods 2017 Sample paper
South Australian Certificate of Education The external assessment requirements of this subject are listed on page 20. Question Booklet 2 Mathematical Methods 2017 Sample paper 2 Part 2 (Questions 11 to
More informationExam III #1 Solutions
Department of Mathematics University of Notre Dame Math 10120 Finite Math Fall 2017 Name: Instructors: Basit & Migliore Exam III #1 Solutions November 14, 2017 This exam is in two parts on 11 pages and
More informationMark scheme. Statistics Year 1 (AS) Unit Test 5: Statistical Hypothesis Testing. Pearson Progression Step and Progress descriptor. Q Scheme Marks AOs
1a Two from: Each bolt is either faulty or not faulty. The probability of a bolt being faulty (or not) may be assumed constant. Whether one bolt is faulty (or not) may be assumed to be independent (or
More informationSolutionbank Edexcel AS and A Level Modular Mathematics
Page of Exercise A, Question Use the binomial theorem to expand, x
More informationReview exercise 2. 1 The equation of the line is: = 5 a The gradient of l1 is 3. y y x x. So the gradient of l2 is. The equation of line l2 is: y =
Review exercise The equation of the line is: y y x x y y x x y 8 x+ 6 8 + y 8 x+ 6 y x x + y 0 y ( ) ( x 9) y+ ( x 9) y+ x 9 x y 0 a, b, c Using points A and B: y y x x y y x x y x 0 k 0 y x k ky k x a
More informationTaylor Series 6B. lim s x. 1 a We can evaluate the limit directly since there are no singularities: b Again, there are no singularities, so:
Taylor Series 6B a We can evaluate the it directly since there are no singularities: 7+ 7+ 7 5 5 5 b Again, there are no singularities, so: + + c Here we should divide through by in the numerator and denominator
More informationComputations - Show all your work. (30 pts)
Math 1012 Final Name: Computations - Show all your work. (30 pts) 1. Fractions. a. 1 7 + 1 5 b. 12 5 5 9 c. 6 8 2 16 d. 1 6 + 2 5 + 3 4 2.a Powers of ten. i. 10 3 10 2 ii. 10 2 10 6 iii. 10 0 iv. (10 5
More informationb UVW is a right-angled triangle, therefore VW is the diameter of the circle. Centre of circle = Midpoint of VW = (8 2) + ( 2 6) = 100
Circles 6F a U(, 8), V(7, 7) and W(, ) UV = ( x x ) ( y y ) = (7 ) (7 8) = 8 VW = ( 7) ( 7) = 64 UW = ( ) ( 8) = 8 Use Pythagoras' theorem to show UV UW = VW 8 8 = 64 = VW Therefore, UVW is a right-angled
More informationThis exam contains 13 pages (including this cover page) and 10 questions. A Formulae sheet is provided with the exam.
Probability and Statistics FS 2017 Session Exam 22.08.2017 Time Limit: 180 Minutes Name: Student ID: This exam contains 13 pages (including this cover page) and 10 questions. A Formulae sheet is provided
More informationBus 216: Business Statistics II Introduction Business statistics II is purely inferential or applied statistics.
Bus 216: Business Statistics II Introduction Business statistics II is purely inferential or applied statistics. Study Session 1 1. Random Variable A random variable is a variable that assumes numerical
More informationE-book Code: REAU0029. For students at risk working at Upper Primary levels. rescue maths. Book 2 Measurement, Chance and data.
E-book Code: REAU0029 For students at risk working at Upper Primary levels rescue maths Book 2 Measurement, Chance and data By Sandy Tasker Ready-Ed Publications - 2003. Published by Ready-Ed Publications
More informationDiscrete Random Variable Practice
IB Math High Level Year Discrete Probability Distributions - MarkScheme Discrete Random Variable Practice. A biased die with four faces is used in a game. A player pays 0 counters to roll the die. The
More informationMEI STRUCTURED MATHEMATICS STATISTICS 2, S2. Practice Paper S2-B
MEI Mathematics in Education and Industry MEI STRUCTURED MATHEMATICS STATISTICS, S Practice Paper S-B Additional materials: Answer booklet/paper Graph paper MEI Examination formulae and tables (MF) TIME
More information( ) ( ) 2 1 ( ) Conic Sections 1 2E. 1 a. 1 dy. At (16, 8), d y 2 1 Tangent is: dx. Tangent at,8. is 1
Conic Sections E a y y so At (6, ), d y y ( 6) y 6 y+ 6 y 6+ y+ 6 d y y At, 6 When, y, angent at, is y 6 y 6+ 6+ y 6+ y 6 y y so,, d y At y ( ) y ( ) y y+ y + y+ e 6+ y 6 y 7 7 y 7 so d d y 7 At ( 7, 7),
More informationAnswers: Year 4 Textbook 1 Pages 4 13
Answers: Year Textbook Pages Page. + = 00. + = 00. 00 0 =. + 7 = 00. 00 = 77. + = 00 7. 00 =. 00 =. + 7 = 00 0. + = 00. 00 = 7. 00 =. p. 7p. p. p 7. 7. 7p. p 0.... p. 7p Page. + = 700. + 7 = 00. 00 = 7.
More information( ) ( ) or ( ) ( ) Review Exercise 1. 3 a 80 Use. 1 a. bc = b c 8 = 2 = 4. b 8. Use = 16 = First find 8 = 1+ = 21 8 = =
Review Eercise a Use m m a a, so a a a Use c c 6 5 ( a ) 5 a First find Use a 5 m n m n m a m ( a ) or ( a) 5 5 65 m n m a n m a m a a n m or m n (Use a a a ) cancelling y 6 ecause n n ( 5) ( 5)( 5) (
More informationReview Exercise 2. 1 a Chemical A 5x+ Chemical B 2x+ 2y12 [ x+ Chemical C [ 4 12]
Review Exercise a Chemical A 5x+ y 0 Chemical B x+ y [ x+ y 6] b Chemical C 6 [ ] x+ y x+ y x, y 0 c T = x+ y d ( x, y) = (, ) T = Pearson Education Ltd 08. Copying permitted for purchasing institution
More informationTopic 5: Statistics 5.3 Cumulative Frequency Paper 1
Topic 5: Statistics 5.3 Cumulative Frequency Paper 1 1. The following is a cumulative frequency diagram for the time t, in minutes, taken by students to complete a task. Standard Level Write down the median.
More informationUnit 2: Number, Algebra, Geometry 1 (Non-Calculator) Foundation Tier. Thursday 8 November 2012 Afternoon Time: 1 hour 15 minutes
Write your name here Surname Other names Edexcel GCSE Centre Number Candidate Number Mathematics B Unit 2: Number, Algebra, Geometry 1 (Non-Calculator) Foundation Tier Thursday 8 November 2012 Afternoon
More information1. If X has density. cx 3 e x ), 0 x < 0, otherwise. Find the value of c that makes f a probability density. f(x) =
1. If X has density f(x) = { cx 3 e x ), 0 x < 0, otherwise. Find the value of c that makes f a probability density. 2. Let X have density f(x) = { xe x, 0 < x < 0, otherwise. (a) Find P (X > 2). (b) Find
More informationChapters 10. Hypothesis Testing
Chapters 10. Hypothesis Testing Some examples of hypothesis testing 1. Toss a coin 100 times and get 62 heads. Is this coin a fair coin? 2. Is the new treatment more effective than the old one? 3. Quality
More informationChapter 6 Continuous Probability Distributions
Math 3 Chapter 6 Continuous Probability Distributions The observations generated by different statistical experiments have the same general type of behavior. The followings are the probability distributions
More information37.3. The Poisson Distribution. Introduction. Prerequisites. Learning Outcomes
The Poisson Distribution 37.3 Introduction In this Section we introduce a probability model which can be used when the outcome of an experiment is a random variable taking on positive integer values and
More informationAnswers to Homework Book 7
nswers to Homework Book Coordinates Exercise.H (page ) a) (, ) (, 0 ) c) (, ) d) (, ) e) (, ) a) (, ) (, ) c) (, ) d) (, ) e) (, ) f) (, ) Exercise.H (page ) a) (, 0, 0) (, 0, ) c) (0, 0, ) d) (0,, 0)
More informationMark scheme Pure Mathematics Year 1 (AS) Unit Test 2: Coordinate geometry in the (x, y) plane
Mark scheme Pure Mathematics Year 1 (AS) Unit Test : Coordinate in the (x, y) plane Q Scheme Marks AOs Pearson 1a Use of the gradient formula to begin attempt to find k. k 1 ( ) or 1 (k 4) ( k 1) (i.e.
More informationChapter 15: Nonparametric Statistics Section 15.1: An Overview of Nonparametric Statistics
Section 15.1: An Overview of Nonparametric Statistics Understand Difference between Parametric and Nonparametric Statistical Procedures Parametric statistical procedures inferential procedures that rely
More information9-7: THE POWER OF A TEST
CD9-1 9-7: THE POWER OF A TEST In the initial discussion of statistical hypothesis testing the two types of risks that are taken when decisions are made about population parameters based only on sample
More informationElementary Statistics in Social Research Essentials Jack Levin James Alan Fox Third Edition
Elementary Statistics in Social Research Essentials Jack Levin James Alan Fox Third Edition Pearson Education Limited Edinburgh Gate Harlow Essex CM20 2JE England and Associated Companies throughout the
More informationChapters 10. Hypothesis Testing
Chapters 10. Hypothesis Testing Some examples of hypothesis testing 1. Toss a coin 100 times and get 62 heads. Is this coin a fair coin? 2. Is the new treatment on blood pressure more effective than the
More informationMark Scheme (Results) Summer Pearson Edexcel GCE Further Mathematics. Statistics S3 (6691)
Mark Scheme (Results) Summer 017 Pearson dexcel GC Further Mathematics Statistics S3 (6691) dexcel and BTC Qualifications dexcel and BTC qualifications come from Pearson, the world s leading learning company.
More informationECE 313: Hour Exam I
University of Illinois Fall 07 ECE 3: Hour Exam I Wednesday, October, 07 8:45 p.m. 0:00 p.m.. [6 points] Suppose that a fair coin is independently tossed twice. Define the events: A = { The first toss
More informationApplied Statistics I
Applied Statistics I (IMT224β/AMT224β) Department of Mathematics University of Ruhuna A.W.L. Pubudu Thilan Department of Mathematics University of Ruhuna Applied Statistics I(IMT224β/AMT224β) 1/158 Chapter
More informationStatistics and Sampling distributions
Statistics and Sampling distributions a statistic is a numerical summary of sample data. It is a rv. The distribution of a statistic is called its sampling distribution. The rv s X 1, X 2,, X n are said
More informationPMT. Mark Scheme (Results) June GCE Statistics S2 (6684) Paper 1
Mark (Results) June 0 GCE Statistics S (6684) Paper Edexcel is one of the leading examining and awarding bodies in the UK and throughout the world. We provide a wide range of qualifications including academic,
More informationTrigonometry and modelling 7E
Trigonometry and modelling 7E sinq +cosq º sinq cosa + cosq sina Comparing sin : cos Comparing cos : sin Divide the equations: sin tan cos Square and add the equations: cos sin (cos sin ) since cos sin
More informationMathematics 4306/2F (Specification A)
Centre Number Surname Candidate Number For Examiner s Use Other Names Candidate Signature Examiner s Initials Time allowed l 1 hour 30 minutes General Certificate of Secondary Education Foundation Tier
More informationFinds the value of θ: θ = ( ). Accept awrt θ = 77.5 ( ). A1 ft 1.1b
1a States that a = 4. 6 + a = 0 may be seen. B1 1.1b 4th States that b = 5. 4 + 9 + b = 0 may be seen. B1 1.1b () Understand Newton s first law and the concept of equilibrium. 1b States that R = i 9j (N).
More informationFriday 8 November 2013 Morning
F Friday 8 November 2013 Morning GCSE MATHEMATICS A A503/01 Unit C (Foundation Tier) *A516830313* Candidates answer on the Question Paper. OCR supplied materials: None Other materials required: Scientific
More information18440: Probability and Random variables Quiz 1 Friday, October 17th, 2014
18440: Probability and Random variables Quiz 1 Friday, October 17th, 014 You will have 55 minutes to complete this test. Each of the problems is worth 5 % of your exam grade. No calculators, notes, or
More informationCONTINUOUS RANDOM VARIABLES
the Further Mathematics network www.fmnetwork.org.uk V 07 REVISION SHEET STATISTICS (AQA) CONTINUOUS RANDOM VARIABLES The main ideas are: Properties of Continuous Random Variables Mean, Median and Mode
More informationChapter 7: Hypothesis Testing
Chapter 7: Hypothesis Testing *Mathematical statistics with applications; Elsevier Academic Press, 2009 The elements of a statistical hypothesis 1. The null hypothesis, denoted by H 0, is usually the nullification
More informationSTUDENT S t DISTRIBUTION INTRODUCTION
STUDENT S t DISTRIBUTION INTRODUCTION Question 1 (**) The weights, in grams, of ten bags of popcorn are shown below 91, 101, 98, 98, 103, 97, 102, 105, 94, 90. a) Find a 95% confidence interval for the
More informationRevision exercises (Chapters 1 to 6)
197 Revision exercises (Chapters 1 to 6) 1 A car sales company offers buyers a choice, with respect to a particular model, of four colours, three engines and two kinds of transmission. a How many distinguishable
More informationUNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certificate of Education Ordinary Level
UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS General Certificate of Education Ordinary Level *5539296252* MATHEMATICS (SYLLABUS D) 4024/11 Paper 1 October/November 2011 2 hours Candidates answer
More informationSalt Lake Community College MATH 1040 Final Exam Fall Semester 2011 Form E
Salt Lake Community College MATH 1040 Final Exam Fall Semester 011 Form E Name Instructor Time Limit: 10 minutes Any hand-held calculator may be used. Computers, cell phones, or other communication devices
More informationSTAT 516 Midterm Exam 2 Friday, March 7, 2008
STAT 516 Midterm Exam 2 Friday, March 7, 2008 Name Purdue student ID (10 digits) 1. The testing booklet contains 8 questions. 2. Permitted Texas Instruments calculators: BA-35 BA II Plus BA II Plus Professional
More informationBusiness Statistics. Chapter 6 Review of Normal Probability Distribution QMIS 220. Dr. Mohammad Zainal
Department of Quantitative Methods & Information Systems Business Statistics Chapter 6 Review of Normal Probability Distribution QMIS 220 Dr. Mohammad Zainal Chapter Goals After completing this chapter,
More informationQ Scheme Marks AOs. Notes. Ignore any extra columns with 0 probability. Otherwise 1 for each. If 4, 5 or 6 missing B0B0.
1a k(16 9) + k(25 9) + k(36 9) (or 7k + 16k + 27k). M1 2.1 4th = 1 M1 Þ k = 1 50 (answer given). * Model simple random variables as probability (3) 1b x 4 5 6 P(X = x) 7 50 16 50 27 50 Note: decimal values
More informationSTT 315 Problem Set #3
1. A student is asked to calculate the probability that x = 3.5 when x is chosen from a normal distribution with the following parameters: mean=3, sd=5. To calculate the answer, he uses this command: >
More informationRandom Variable. Discrete Random Variable. Continuous Random Variable. Discrete Random Variable. Discrete Probability Distribution
Random Variable Theoretical Probability Distribution Random Variable Discrete Probability Distributions A variable that assumes a numerical description for the outcome of a random eperiment (by chance).
More informationSection 9.4. Notation. Requirements. Definition. Inferences About Two Means (Matched Pairs) Examples
Objective Section 9.4 Inferences About Two Means (Matched Pairs) Compare of two matched-paired means using two samples from each population. Hypothesis Tests and Confidence Intervals of two dependent means
More information( ) Momentum and impulse Mixed exercise 1. 1 a. Using conservation of momentum: ( )
Momentum and impulse Mixed exercise 1 1 a Using conseration of momentum: ( ) 6mu 4mu= 4m 1 u= After the collision the direction of Q is reersed and its speed is 1 u b Impulse = change in momentum I = (3m
More informationMath SL Distribution Practice [75 marks]
Math SL Distribution Practice [75 marks] The weights, W, of newborn babies in Australia are normally distributed with a mean 3.41 kg and standard deviation 0.57 kg. A newborn baby has a low birth weight
More informationHypothesis for Means and Proportions
November 14, 2012 Hypothesis Tests - Basic Ideas Often we are interested not in estimating an unknown parameter but in testing some claim or hypothesis concerning a population. For example we may wish
More information1a States correct answer: 5.3 (m s 1 ) B1 2.2a 4th Understand the difference between a scalar and a vector. Notes
1a States correct answer: 5.3 (m s 1 ) B1.a 4th Understand the difference between a scalar and a vector. 1b States correct answer: 4.8 (m s 1 ) B1.a 4th Understand the difference between a scalar and a
More informationMath 180B Problem Set 3
Math 180B Problem Set 3 Problem 1. (Exercise 3.1.2) Solution. By the definition of conditional probabilities we have Pr{X 2 = 1, X 3 = 1 X 1 = 0} = Pr{X 3 = 1 X 2 = 1, X 1 = 0} Pr{X 2 = 1 X 1 = 0} = P
More informationStatistics 100A Homework 5 Solutions
Chapter 5 Statistics 1A Homework 5 Solutions Ryan Rosario 1. Let X be a random variable with probability density function a What is the value of c? fx { c1 x 1 < x < 1 otherwise We know that for fx to
More informationMathematics (Linear) 43652F. (JUN F01) WMP/Jun13/43652F. General Certificate of Secondary Education Foundation Tier June 2013.
Centre Number Surname Candidate Number For Examiner s Use Other Names Candidate Signature Examiner s Initials General Certificate of Secondary Education Foundation Tier June 2013 Pages 2 3 4 5 Mark Mathematics
More informationYou must have: Ruler graduated in centimetres and millimetres, protractor, compasses, pen, HB pencil, eraser, calculator. Tracing paper may be used.
Write your name here Surname Other names Pearson Edexcel International Lower Secondary Curriculum Centre Number Mathematics Year 9 Achievement Test Candidate Number Thursday 4 June 015 Afternoon Time 1
More informationExample. What is the sample space for flipping a fair coin? Rolling a 6-sided die? Find the event E where E = {x x has exactly one head}
Chapter 7 Notes 1 (c) Epstein, 2013 CHAPTER 7: PROBABILITY 7.1: Experiments, Sample Spaces and Events Chapter 7 Notes 2 (c) Epstein, 2013 What is the sample space for flipping a fair coin three times?
More informationReview exercise
Review eercise y cos sin When : 8 y and 8 gradient of normal is 8 y When : 9 y and 8 Equation of normal is y 8 8 y8 8 8 8y 8 8 8 8y 8 8 8 8y 8 8 8 y e ln( ) e ln e When : y e ln and e Equation of tangent
More information