MTH 302 long questions solved by Pisces girl My Lord! Increase me in knowledge.

Size: px
Start display at page:

Download "MTH 302 long questions solved by Pisces girl My Lord! Increase me in knowledge."

Transcription

1 MTH 302 long questions solved by Pisces girl My Lord! Increase me in knowledge. Question No: 5 ( Marks: 3 ) In a school, 50% students study science subjects and 30% of them study biology. What is the probability that the student studies Biology? Soluion: 30/100 3/10 30% 0.3 Question No: 7 ( Marks: 5 ) A student goes to the library. The probability that she checks out (a) a work of fiction is 0.40, (b) a work of non-fiction is 0.30,, and (c) both fiction and non-fiction is What is the probability that the student checks out a work of fiction, non-fiction, or both? Solution: Probability that she checks out for work of fiction = 2/5 Probability that she checks out for non-fiction = 3/10 Probability that she checks out for both = 1/5 Probability that the student checks out for fiction, non-fiction, or both = 2/5 + 3/10 + 1/5 = 9/10 Question No: 8 ( Marks: 5 ) Calculate the mean, median and mode for the following set of data 2,2,1,4,4,8,5, 6, 8, 19, 2, 1, 6, 25 Mean : Efx/n=93/14= 6.64 (14)

2 Median: 5+6/2=11/2=5.5 Mode : 2 Question No: 10 ( Marks: 10 ) Find all the quartiles for the following data set: 4.3, 5.1, 3.9, 4.5, 4.4, 4.9, 5.0, 4.7, 4.1, 4.6, 4.4, 4.3, 4.8, 4.4, 4.2, 4.5, 4.4 Solve: Arrange this data in Acessending order: Formula of 1st Q: N+1/4 17+1/4 18/4 4.5 Since we get position of first quartile as decimal fraction, so we proceed as follows Q1=2nd values+0.5*(3rd value-2nd value) *( ) (0.1) 4.15 Position 2nd Q 2*18/4=9 Q2=5th value 4.3 Poistion of 3rd Q 3*18/4=13.5 Q3=7th value+0.5*(8th value-7th value) ( ) 4.9

3 Question No: 14 ( Marks: 3 ) Define median and find the median of the following set of data 3, 6, 11, 14, 19, 19, 21, 24, 31 Solve Gives Median or Number in Middle Median is =19 Question No: 16 ( Marks: 3 ) Write the formula of seasonal variation. Solve Calculate Actual trend for each period Question No: 23 ( Marks: 2 ) In which condition none of the hypothesis testing procedures can be safely used. Solve If underlying population is not normal and we have a small sample Then none of the hypothesis testing procedures can be safely used. Question No: 24 ( Marks: 3 ) If the difference between two sample means is 11.29, n1 = 30 and n2= 50, then find the Standard Error of Difference in Sample Means (STEDM) Solve Standard Error of Difference in Sample Means (STEDM) = 11.29(1/30 + 1/50)^1/2 = 2.60 (B.P331) Question No: 33 ( Marks: 3 )

4 What are the differences between Normal distribution, Binomial Distribution and Poisson distribution? Solve A standard normal distribution is a distribution with mean = 0 and standard deviation = 1. The Y-axis gives the probability values. The X-axis gives the z (measurement) values. Each point on the curve corresponds to the probability p that a measurement will yield a particular z value (value on the x-axis.). Returns the individual term binomial distribution probability. Use BINOMDIST in problems with a fixed number of tests or trials, when the outcomes of any trial are only success or failure, when trials are independent, and when the probability of success is constant throughout the experiment. The Poisson distribution is most commonly used to model the number of random occurrences of some phenomenon in a specified unit of space or time. For example, The number of phone calls received by a telephone operator in a 10-minute period. The number of flaws in a bolt of fabric. The number of typos per page made by a secretary. Question No: 34 ( Marks: 3 ) Define normal distribution Solve A standard normal distribution is a distribution with mean = 0 and standard deviation = 1. The Y-axis gives the probability values. The X-axis gives the z (measurement) values.

5 Each point on the curve corresponds to the probability p that a measurement will yield a particular z value (value on the x-axis.). Question No: 57 ( Marks: 3 ) Find the single discount rate that is equivalent to the series18%, 12%, 9%. Solution: Let list price = 100 Series trade discount: Netprice = List price(1-d1)(1-d2)..(1-dn) = 100 (1 -.18)(1 -.12)(1 -.09) = 100(.82)(.88)(.91) =100(.657) =65.7 Single discount rate = = 34.3% Question No: 58 ( Marks: 5 ) Compute the amount of compound interest for Rs 3500 at 6% per annum for 2 years. Solution: S = P(1+R/100)^n S= Money accrued after n years also called compound amount P= Principle amount R= Rate of interest n= number of periods

6 S= 3500 (1 + 6/100)^2 =3500 (1 +.06)^2 =3500(1.06)^2 = 3500(1.1236) S=3933 Compound interest = S P = = 433 Question No: 59 ( Marks: 10 ) It is advised by the exam department of an institute to the assistant to develop a structure of marks obtained by three students in three different subjects for very quick view & analysis with the following instructions to be followed strictly as; a) marks obtained by EACH student in EVERY subject b) marks in EACH subject be obtained by EVERY student. Also describe & justify the optimality of the structure. If such model is possible then suggest its further extension for numerous numbers of students. Solution: The optimal method to solve this problem is by using matrices Let the student names be: 1. Ahmed 2. Shahzad 3. Amjad Let the subjects be: 1. Math 2. Chemistry 3. Physics

7 Math Chemistry Physics Ahmed Shahzad Amjad Now let s convert the above table into a matrix: A = BENEFITS OF MATRICES: The below benefits can help in further extension 1. Can handle large amount of data: So w.r.t to the above question you can increase the no. of students & subjects as per your requirement and a 2. Analysis of data: By using different matrix functions you can easily find out the respective averages and the grades of students. 3. Simple & Easy: The above mentioned matix structure is simple and easy to understand and the data can be easily converted from table to matrix 4. Easy to evaluate performance: Its easy to find each students performance in a specific subject 5. Easy extension: As matrices can handle large amounts of data so you just need to enter the data rest is done by matrices functions.

8 Question No: 63 Write which of the given function is used for which of the below given tasks. Functions: RATE(total number of payment periods, payment made each period,pv,fv,type,guess) PPMT(interest rate, period, total number of payment periods, pv, fv, type) Question No: 64 ( Marks: 2 ) Define frequency with example. Answer: The number of times a certain value or class of values occur. Question No: 65 ( Marks: 2 ) Define Type-I error Answer: Statistical probability in hypothesis testing that the test sample supports a conclusion that a value is misstated when, in fact, the value is correctly stated. Defined also as an incorrect decision to reject something that should have been accepted, it is the mirror image of type 2 error. If the level of significance (called alpha level) for a test result is set too high, the possibility of type 1 error is reduced but the possibility of type 2 error is raised by the same factor, and vice versa. Also called alpha error or alpha risk. Question No: 66 ( Marks: 2 ) A coin can be tossed in 3 ways. A die can be thrown in 6 ways. A coin and a die together can be thrown in 18.ways. Question No: 69 ( Marks: 3 )

9 Explain negative binomial distribution. Answer: It returns the probability that there will be number_f failures before the number_s-th success, when the constant probability of a success is probability_s. This function is similar to the binomial distribution, except that the number of successes is fixed, and the number of trials is variable. Like the binomial, trials are assumed independent. Question No: 72 ( Marks: 5 ) a) Write all the combinations of abcd taken 1 at a time. Answer : 4!/1!(4-1)! = 4 b) Write their combinations taken 2 at a time. Answer : 4!/2!(4-2)! = 4.3.2/2.2 = 6 c) Write their combinations taken 3 at a time. Answer : 4!/3!(4-3)! = 4.3.2/3.2 = 6 d) Write their combinations taken 4 at a time. Answer : 4!/4!(4-4)! = 1 Question No: 73 ( Marks: 10 ) Find the standard deviation and variance for 10 randomly selected data values : 44, 50, 38, 96, 42, 47, 40, 39, 46, 50. Answer: Standard Deviation = Question No: 74 ( Marks: 10 ) Find the mean, median, mode, and range for the following list of values: 13, 18, 13, 14, 13, 16, 14, 21, 13

10 Answer: Mean = 15 (N=9) Median = 14 Mode = 13 Range = 13 Question No: 75 ( Marks: 2 ) Define the Null Hypothesis. ANS: Null hypothesis is a scenario which explain a given set of data. It is tested to determine whether data provides sufficient reasons to pursue some alternative hypothesis. It is a hypothesis that states there is no difference between 2 or more sets of data. Question No: 76 ( Marks: 2 ) A coin can be tossed in 3 ways. A die can be thrown in 6 ways. A coin and a die together can be thrown in 3 X 6 = 18.ways. Question No: 77 ( Marks: 2 ) Find harmonic mean (HM) of 10,12,14,17. ANS: Harmonic mean,hm = n/(1/x1 + 1/x2 + 1/x3 + 1/x4 + +1/xn) N= 4 X1 = 10 X2 = 12 X3 = 14 X4 = 17 1/x1 + 1/x2 + 1/x3 + 1/x4 = 1/10 + 1/12+ 1/14+ 1/17 = Harmonic mean = 4/0.2385= Question No: 79 ( Marks: 3 )

11 Given for a frequency distribution mode = 18, mean = 21.Calculate median. Using these values comment on skewness of distribution. ANS: We know that, Since, So, Mean-mode= 3(mean- median) Median= (2*mean+mode)/3 Mean= 21 Mode= 18 Median = (2*21+18)/3 = (42+18)/3 = 60/3 = 10 The distribution is Moderately skewed and unimodal distribution. Question No: 80 ( Marks: 3 ) How many different ways can you select 2 letters from the set of letters: X, Y, and Z? (Hint: In this problem, order is NOT important; i.e., XY is considered the same selection as YX.)ANS: Total number of letters = 3 Letters taken at a time = 2 Number of ways in which 2 letters can be selected out of 3 = 3C2 = 3! / 2!(3-2)! Question No: 81 ( Marks: 5 ) =3*2*1/ 2 How many possible permutations can be formed from the word MATHEMATICS? ANS: Total number of alphabets in mathematics = 11 M = 2 A = 2 T = 2 = 3

12 H = 1 E = 1 I = 1 C = 1 S = 1 Permutations = 11! / 2! * 2! * 2! *1! * 1! * 1* 1! * 1! = 11! / 8 = 4,989,600 Question No: 82 ( Marks: 5 ) Find the standard deviation of 4, 9, 11, 12, 17, 5, 8, 12, 14 ANS: Standard deviation for sample = sqrt[sum(x- )2/n-1) = mean = ( )/9 = 92/9 = n= 9 so, n-1 =9-1 = 8 X X-X (X-X)

13 2 = Standard deviation = = 4.18 Question No: 83 ( Marks: 5 ) In a normal distribution what proportion of cases will fall between 20 and 35? Question No: 84 ( Marks: 10 ) Form a regression line from the data below. Departments X Y l ANS: Slope,b = [n*sum(x*y) sumx*sumy]/ [n*sumx2- (sumx)2] intercept, a = (sumy b*sumx)/n n= 7 Departments X Y X2 X*Y

14 sumx =272 sumy= 413 sumx2 = sumx*y = slope, b = [7(13509)-272*413]/[7(15138)-(272)2] = -17,773/31,982 = intercept, a = [413-(-0.55)272]/ 7 = equation of regression line is given by, Y = a+ bx Y = x Question No: 85 ( Marks: 10 ) The following data gives the height (in inches) of eleven 9-years old boys in a primary school. 57, 52, 51, 49, 55, 54, 50, 48, 53, 56, 47 a) Find first, second and third quartiles. b) Find interquartile range, Quartile deviation. ANS:a) Data in arranged order: 47,48,49,50,51,52,53,54,55,56,57 number of data points, n = 11 position of Qi = i(n+1)/4 Position of Q1= (n+1)/4 = (11+1)/4 = 12/4= 3 So, Q1= 3rd value = 49

15 Position of Q2= 2(11+1)/4 = 24/4 = 6 So, Q2= 6th value = 52 Position of Q3= 3(11+1)/4 = 36/4 =9 So, Q3= 9th value 55 b) Interquartile range = Q3-Q1 = = 6 Quartile deviation = (Q3-Q1)/2 = (55-49)/2 = 6/2 = 3 Question No: 135 ( Marks: 2 ) What will be y-intercept b in the regression line Y=aX+b if Y = 9, X = 3 and a = 2? Solution: 9 = (2 x 3) + b b = 9 6 b = 3 will be the Intercept Question No: 136 ( Marks: 3 ) What are the differences between Normal distribution, Binomial Distribution and Poisson distribution? Question No: 137 ( Marks: 3 ) Write the formula of seasonal variation.

16 Solution : Seasonal variation is a component of a time series which is defined as the repetitive and predictable movement around the trend line in one year or less. It is detected by measuring the quantity of interest for small time intervals, such as days, weeks, months or quarters. Hence Season variation = Actual Trend Question No: 140 ( Marks: 5 ) Calculate the S.D of the following data 2, 4, 4, 5, 10, 16, 17 Solution: X is the mean which is 8.28 X X-X (X-X) N = 7

17 X = 58/7= /2 S.D = SUM (x-x)2 ========= n ====== 6 = 6.12 is the answer Question No: 151 ( Marks: 2 ) What will be the correlation coefficient r between variables X and Y if varx=4,vary=9 and Cov(X,Y)=3? Answer R=9 Question No: 152 ( Marks: 2 ) What are the disadvantages for the so larger & so smaller values of smoothing constants in forecast analysis?

18 ANSWER : A small value will have less of a smoothing effect and be more responsive notice that this technique same disadvantages as the simple moving average as larger values actually reduced the level of smoothing effect. Question No: 153 ( Marks: 2 ) What will be the standard deviation of a sample of size 25 if its population variance is 2. ANSWER Standard deviation = 12.5 Question No: 154 ( Marks: 3 ) A random sample of size n is drawn from normal population with mean 6 and standard deviation 1.2; if z = 4, 8 what is n? ANSWER : N=2 Question No: 155 ( Marks: 3 ) Find Covariance Cov(X,Y) if var(x)=7,var(y)=6 and correlation coefficient r between X and Y is 0.3? ANSWER COV(X,Y)=1.3 Question No: 158 ( Marks: 5 )

19 Using the formula find the coefficient of linear correlation with the help of given table X Y ASNWER : X Y x2 y2 xy Put the values in the formula R= 4(234)-(28)(32) (4(206)-(784))*1/2*(4(266)-(1024))*1/2 = ( )*1/2*( )*1/2 = 976 (40)*1/2*(40)*1/2 = 40 20*20 r= 0.10

20 Question No: 159 ( Marks: 5 ) According to a survey, a certain city has a population of 100,000 people age 22 and over with standard deviation of 49. Of them 60% are married. If we draw a sample of 1600 people then find the chance that 58% or less of the people are married.

MTH302 Long Solved Questions By

MTH302 Long Solved Questions By MTH30 Long Solved uestions By www.vuattach.ning.com If you toss a die and observe the number of dots that appears on top face then write the events that the even number occurs. Number of Possible outcomes

More information

MTH302 Quiz # 4. Solved By When a coin is tossed once, the probability of getting head is. Select correct option:

MTH302 Quiz # 4. Solved By When a coin is tossed once, the probability of getting head is. Select correct option: MTH302 Quiz # 4 Solved By konenuchiha@gmail.com When a coin is tossed once, the probability of getting head is. 0.55 0.52 0.50 (1/2) 0.51 Suppose the slope of regression line is 20 and the intercept is

More information

Final Exam STAT On a Pareto chart, the frequency should be represented on the A) X-axis B) regression C) Y-axis D) none of the above

Final Exam STAT On a Pareto chart, the frequency should be represented on the A) X-axis B) regression C) Y-axis D) none of the above King Abdul Aziz University Faculty of Sciences Statistics Department Final Exam STAT 0 First Term 49-430 A 40 Name No ID: Section: You have 40 questions in 9 pages. You have 90 minutes to solve the exam.

More information

Mock Exam - 2 hours - use of basic (non-programmable) calculator is allowed - all exercises carry the same marks - exam is strictly individual

Mock Exam - 2 hours - use of basic (non-programmable) calculator is allowed - all exercises carry the same marks - exam is strictly individual Mock Exam - 2 hours - use of basic (non-programmable) calculator is allowed - all exercises carry the same marks - exam is strictly individual Question 1. Suppose you want to estimate the percentage of

More information

AP STATISTICS: Summer Math Packet

AP STATISTICS: Summer Math Packet Name AP STATISTICS: Summer Math Packet DIRECTIONS: Complete all problems on this packet. Packet due by the end of the first week of classes. Attach additional paper if needed. Calculator may be used. 1.

More information

Probability Experiments, Trials, Outcomes, Sample Spaces Example 1 Example 2

Probability Experiments, Trials, Outcomes, Sample Spaces Example 1 Example 2 Probability Probability is the study of uncertain events or outcomes. Games of chance that involve rolling dice or dealing cards are one obvious area of application. However, probability models underlie

More information

Glossary. The ISI glossary of statistical terms provides definitions in a number of different languages:

Glossary. The ISI glossary of statistical terms provides definitions in a number of different languages: Glossary The ISI glossary of statistical terms provides definitions in a number of different languages: http://isi.cbs.nl/glossary/index.htm Adjusted r 2 Adjusted R squared measures the proportion of the

More information

Random Variable. Discrete Random Variable. Continuous Random Variable. Discrete Random Variable. Discrete Probability Distribution

Random 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 information

ADMS2320.com. We Make Stats Easy. Chapter 4. ADMS2320.com Tutorials Past Tests. Tutorial Length 1 Hour 45 Minutes

ADMS2320.com. We Make Stats Easy. Chapter 4. ADMS2320.com Tutorials Past Tests. Tutorial Length 1 Hour 45 Minutes We Make Stats Easy. Chapter 4 Tutorial Length 1 Hour 45 Minutes Tutorials Past Tests Chapter 4 Page 1 Chapter 4 Note The following topics will be covered in this chapter: Measures of central location Measures

More information

DSST Principles of Statistics

DSST Principles of Statistics DSST Principles of Statistics Time 10 Minutes 98 Questions Each incomplete statement is followed by four suggested completions. Select the one that is best in each case. 1. Which of the following variables

More information

COVENANT UNIVERSITY NIGERIA TUTORIAL KIT OMEGA SEMESTER PROGRAMME: ECONOMICS

COVENANT UNIVERSITY NIGERIA TUTORIAL KIT OMEGA SEMESTER PROGRAMME: ECONOMICS COVENANT UNIVERSITY NIGERIA TUTORIAL KIT OMEGA SEMESTER PROGRAMME: ECONOMICS COURSE: CBS 221 DISCLAIMER The contents of this document are intended for practice and leaning purposes at the undergraduate

More information

Probability, For the Enthusiastic Beginner (Exercises, Version 1, September 2016) David Morin,

Probability, For the Enthusiastic Beginner (Exercises, Version 1, September 2016) David Morin, Chapter 8 Exercises Probability, For the Enthusiastic Beginner (Exercises, Version 1, September 2016) David Morin, morin@physics.harvard.edu 8.1 Chapter 1 Section 1.2: Permutations 1. Assigning seats *

More information

6. For any event E, which is associated to an experiment, we have 0 P( 7. If E 1

6. For any event E, which is associated to an experiment, we have 0 P( 7. If E 1 CHAPTER PROBABILITY Points to Remember :. An activity which gives a result is called an experiment.. An experiment which can be repeated a number of times under the same set of conditions, and the outcomes

More information

INSTITUTE OF ACTUARIES OF INDIA

INSTITUTE OF ACTUARIES OF INDIA INSTITUTE OF ACTUARIES OF INDIA EXAMINATIONS 13 th May 2008 Subject CT3 Probability and Mathematical Statistics Time allowed: Three Hours (10.00 13.00 Hrs) Total Marks: 100 INSTRUCTIONS TO THE CANDIDATES

More information

Bus 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. 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 information

STATISTICS AND BUSINESS MATHEMATICS B.com-1 Regular Annual Examination 2015

STATISTICS AND BUSINESS MATHEMATICS B.com-1 Regular Annual Examination 2015 B.com-1 STATISTICS AND BUSINESS MATHEMATICS B.com-1 Regular Annual Examination 2015 Compiled & Solved By: JAHANGEER KHAN (SECTION A) Q.1 (a): Find the equation of straight line when x-intercept = 3 and

More information

QUANTITATIVE TECHNIQUES

QUANTITATIVE TECHNIQUES UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION (For B Com. IV Semester & BBA III Semester) COMPLEMENTARY COURSE QUANTITATIVE TECHNIQUES QUESTION BANK 1. The techniques which provide the decision maker

More information

Week 6, 9/24/12-9/28/12, Notes: Bernoulli, Binomial, Hypergeometric, and Poisson Random Variables

Week 6, 9/24/12-9/28/12, Notes: Bernoulli, Binomial, Hypergeometric, and Poisson Random Variables Week 6, 9/24/12-9/28/12, Notes: Bernoulli, Binomial, Hypergeometric, and Poisson Random Variables 1 Monday 9/24/12 on Bernoulli and Binomial R.V.s We are now discussing discrete random variables that have

More information

S2 QUESTIONS TAKEN FROM JANUARY 2006, JANUARY 2007, JANUARY 2008, JANUARY 2009

S2 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 information

MTH4451Test#2-Solutions Spring 2009

MTH4451Test#2-Solutions Spring 2009 Pat Rossi Instructions. MTH4451Test#2-Solutions Spring 2009 Name Show CLEARLY how you arrive at your answers. 1. A large jar contains US coins. In this jar, there are 350 pennies ($0.01), 300 nickels ($0.05),

More information

Senior Math Circles November 19, 2008 Probability II

Senior Math Circles November 19, 2008 Probability II University of Waterloo Faculty of Mathematics Centre for Education in Mathematics and Computing Senior Math Circles November 9, 2008 Probability II Probability Counting There are many situations where

More information

Math 2000 Practice Final Exam: Homework problems to review. Problem numbers

Math 2000 Practice Final Exam: Homework problems to review. Problem numbers Math 2000 Practice Final Exam: Homework problems to review Pages: Problem numbers 52 20 65 1 181 14 189 23, 30 245 56 256 13 280 4, 15 301 21 315 18 379 14 388 13 441 13 450 10 461 1 553 13, 16 561 13,

More information

STATISTICS AND BUSINESS MATHEMATICS B.com-1 Private Annual Examination 2015

STATISTICS AND BUSINESS MATHEMATICS B.com-1 Private Annual Examination 2015 B.com-1 STATISTICS AND BUSINESS MATHEMATICS B.com-1 Private Annual Examination 2015 Compiled & Solved By: JAHANGEER KHAN (SECTION A) Q.1 (a): Find the distance between the points (1, 2), (4, 5). SOLUTION

More information

Advanced Subsidiary / Advanced Level

Advanced Subsidiary / Advanced Level GCE Examinations Statistics Module S1 Advanced Subsidiary / Advanced Level Paper H Time: 1 hour 30 minutes Instructions and Information Candidates may use any calculator except those with a facility for

More information

Descriptive Statistics Class Practice [133 marks]

Descriptive Statistics Class Practice [133 marks] Descriptive Statistics Class Practice [133 marks] The weekly wages (in dollars) of 80 employees are displayed in the cumulative frequency curve below. 1a. (i) (ii) Write down the median weekly wage. Find

More information

1. Consider the independent events A and B. Given that P(B) = 2P(A), and P(A B) = 0.52, find P(B). (Total 7 marks)

1. Consider the independent events A and B. Given that P(B) = 2P(A), and P(A B) = 0.52, find P(B). (Total 7 marks) 1. Consider the independent events A and B. Given that P(B) = 2P(A), and P(A B) = 0.52, find P(B). (Total 7 marks) 2. In a school of 88 boys, 32 study economics (E), 28 study history (H) and 39 do not

More information

Sampling, Frequency Distributions, and Graphs (12.1)

Sampling, Frequency Distributions, and Graphs (12.1) 1 Sampling, Frequency Distributions, and Graphs (1.1) Design: Plan how to obtain the data. What are typical Statistical Methods? Collect the data, which is then subjected to statistical analysis, which

More information

Friday 7 November 2014 Morning

Friday 7 November 2014 Morning H Friday 7 November 2014 Morning GCSE MATHEMATICS B J567/04 Paper 4 (Higher Tier) * 1 1 8 3 5 0 0 1 9 2 * Candidates answer on the Question Paper. OCR supplied materials: None Other materials required:

More information

14.2 THREE IMPORTANT DISCRETE PROBABILITY MODELS

14.2 THREE IMPORTANT DISCRETE PROBABILITY MODELS 14.2 THREE IMPORTANT DISCRETE PROBABILITY MODELS In Section 14.1 the idea of a discrete probability model was introduced. In the examples of that section the probability of each basic outcome of the experiment

More information

Mathematics (Project Maths)

Mathematics (Project Maths) Pre-Leaving Certificate Examination Mathematics (Project Maths) Paper Ordinary Level (with solutions) February 00 ½ hours 00 marks Running total Examination number Centre stamp For examiner Question Mark

More information

Probability and Probability Distributions. Dr. Mohammed Alahmed

Probability and Probability Distributions. Dr. Mohammed Alahmed Probability and Probability Distributions 1 Probability and Probability Distributions Usually we want to do more with data than just describing them! We might want to test certain specific inferences about

More information

MgtOp 215 Chapter 5 Dr. Ahn

MgtOp 215 Chapter 5 Dr. Ahn MgtOp 215 Chapter 5 Dr. Ahn Random variable: a variable that assumes its values corresponding to a various outcomes of a random experiment, therefore its value cannot be predicted with certainty. Discrete

More information

STA301- Statistics and Probability Solved Subjective From Final term Papers. STA301- Statistics and Probability Final Term Examination - Spring 2012

STA301- Statistics and Probability Solved Subjective From Final term Papers. STA301- Statistics and Probability Final Term Examination - Spring 2012 STA30- Statistics and Probability Solved Subjective From Final term Papers Feb 6,03 MC004085 Moaaz.pk@gmail.com Mc004085@gmail.com PSMD0 STA30- Statistics and Probability Final Term Examination - Spring

More information

Introduction to Probability, Fall 2009

Introduction to Probability, Fall 2009 Introduction to Probability, Fall 2009 Math 30530 Review questions for exam 1 solutions 1. Let A, B and C be events. Some of the following statements are always true, and some are not. For those that are

More information

STA 2023 EXAM-2 Practice Problems From Chapters 4, 5, & Partly 6. With SOLUTIONS

STA 2023 EXAM-2 Practice Problems From Chapters 4, 5, & Partly 6. With SOLUTIONS STA 2023 EXAM-2 Practice Problems From Chapters 4, 5, & Partly 6 With SOLUTIONS Mudunuru Venkateswara Rao, Ph.D. STA 2023 Fall 2016 Venkat Mu ALL THE CONTENT IN THESE SOLUTIONS PRESENTED IN BLUE AND BLACK

More information

Practice problems from chapters 2 and 3

Practice problems from chapters 2 and 3 Practice problems from chapters and 3 Question-1. For each of the following variables, indicate whether it is quantitative or qualitative and specify which of the four levels of measurement (nominal, ordinal,

More information

GANSBAAI ACADEMIA. L. Havenga A. van Wyk

GANSBAAI ACADEMIA. L. Havenga A. van Wyk MATHEMATICS Grade 1 EDUCATOR MODERATOR GANSBAAI ACADEMIA L. Havenga A. van Wyk EXAM P1 June 014 Total: 150 Time: 3 hours INSTRUCTIONS 1. This question paper consists o 11 questions. Answer ALL questions..

More information

Hypothesis Testing. ) the hypothesis that suggests no change from previous experience

Hypothesis Testing. ) the hypothesis that suggests no change from previous experience Hypothesis Testing Definitions Hypothesis a claim about something Null hypothesis ( H 0 ) the hypothesis that suggests no change from previous experience Alternative hypothesis ( H 1 ) the hypothesis that

More information

LC OL - Statistics. Types of Data

LC OL - Statistics. Types of Data LC OL - Statistics Types of Data Question 1 Characterise each of the following variables as numerical or categorical. In each case, list any three possible values for the variable. (i) Eye colours in a

More information

Math 221, REVIEW, Instructor: Susan Sun Nunamaker

Math 221, REVIEW, Instructor: Susan Sun Nunamaker Math 221, REVIEW, Instructor: Susan Sun Nunamaker Good Luck & Contact me through through e-mail if you have any questions. 1. Bar graphs can only be vertical. a. true b. false 2.

More information

Unit 4 Probability. Dr Mahmoud Alhussami

Unit 4 Probability. Dr Mahmoud Alhussami Unit 4 Probability Dr Mahmoud Alhussami Probability Probability theory developed from the study of games of chance like dice and cards. A process like flipping a coin, rolling a die or drawing a card from

More information

Chapter 7: Hypothesis Testing

Chapter 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 information

STA 2023 EXAM-2 Practice Problems. Ven Mudunuru. From Chapters 4, 5, & Partly 6. With SOLUTIONS

STA 2023 EXAM-2 Practice Problems. Ven Mudunuru. From Chapters 4, 5, & Partly 6. With SOLUTIONS STA 2023 EXAM-2 Practice Problems From Chapters 4, 5, & Partly 6 With SOLUTIONS Mudunuru, Venkateswara Rao STA 2023 Spring 2016 1 1. A committee of 5 persons is to be formed from 6 men and 4 women. What

More information

Overview of Dispersion. Standard. Deviation

Overview of Dispersion. Standard. Deviation 15.30 STATISTICS UNIT II: DISPERSION After reading this chapter, students will be able to understand: LEARNING OBJECTIVES To understand different measures of Dispersion i.e Range, Quartile Deviation, Mean

More information

VTU Edusat Programme 16

VTU Edusat Programme 16 VTU Edusat Programme 16 Subject : Engineering Mathematics Sub Code: 10MAT41 UNIT 8: Sampling Theory Dr. K.S.Basavarajappa Professor & Head Department of Mathematics Bapuji Institute of Engineering and

More information

Table of z values and probabilities for the standard normal distribution. z is the first column plus the top row. Each cell shows P(X z).

Table of z values and probabilities for the standard normal distribution. z is the first column plus the top row. Each cell shows P(X z). Table of z values and probabilities for the standard normal distribution. z is the first column plus the top row. Each cell shows P(X z). For example P(X.04) =.8508. For z < 0 subtract the value from,

More information

Algebra 2 Practice Midterm

Algebra 2 Practice Midterm Name: Algebra 2 Practice Midterm Circle the letter for the correct answer. 1. A study comparing patients who received a new medicine with those who did not is. A. an observational study C. an experiment

More information

Topic 5 Part 3 [257 marks]

Topic 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 information

Q1 Own your learning with flash cards.

Q1 Own your learning with flash cards. For this data set, find the mean, mode, median and inter-quartile range. 2, 5, 6, 4, 7, 4, 7, 2, 8, 9, 4, 11, 9, 9, 6 Q1 For this data set, find the sample variance and sample standard deviation. 89, 47,

More information

18.05 Practice Final Exam

18.05 Practice Final Exam No calculators. 18.05 Practice Final Exam Number of problems 16 concept questions, 16 problems. Simplifying expressions Unless asked to explicitly, you don t need to simplify complicated expressions. For

More information

How do we compare the relative performance among competing models?

How do we compare the relative performance among competing models? How do we compare the relative performance among competing models? 1 Comparing Data Mining Methods Frequent problem: we want to know which of the two learning techniques is better How to reliably say Model

More information

Lecture # 31. Questions of Marks 3. Question: Solution:

Lecture # 31. Questions of Marks 3. Question: Solution: Lecture # 31 Given XY = 400, X = 5, Y = 4, S = 4, S = 3, n = 15. Compute the coefficient of correlation between XX and YY. r =0.55 X Y Determine whether two variables XX and YY are correlated or uncorrelated

More information

Management Programme. MS-08: Quantitative Analysis for Managerial Applications

Management Programme. MS-08: Quantitative Analysis for Managerial Applications MS-08 Management Programme ASSIGNMENT SECOND SEMESTER 2013 MS-08: Quantitative Analysis for Managerial Applications School of Management Studies INDIRA GANDHI NATIONAL OPEN UNIVERSITY MAIDAN GARHI, NEW

More information

1 The Basic Counting Principles

1 The Basic Counting Principles 1 The Basic Counting Principles The Multiplication Rule If an operation consists of k steps and the first step can be performed in n 1 ways, the second step can be performed in n ways [regardless of how

More information

STAT:2020 Probability and Statistics for Engineers Exam 2 Mock-up. 100 possible points

STAT:2020 Probability and Statistics for Engineers Exam 2 Mock-up. 100 possible points STAT:2020 Probability and Statistics for Engineers Exam 2 Mock-up 100 possible points Student Name Section [letter/#] Section [day/time] Instructions: 1) Make sure you have the correct number of pages.

More information

CHAPTER 5: EXPLORING DATA DISTRIBUTIONS. Individuals are the objects described by a set of data. These individuals may be people, animals or things.

CHAPTER 5: EXPLORING DATA DISTRIBUTIONS. Individuals are the objects described by a set of data. These individuals may be people, animals or things. (c) Epstein 2013 Chapter 5: Exploring Data Distributions Page 1 CHAPTER 5: EXPLORING DATA DISTRIBUTIONS 5.1 Creating Histograms Individuals are the objects described by a set of data. These individuals

More information

Chapter 5 : Probability. Exercise Sheet. SHilal. 1 P a g e

Chapter 5 : Probability. Exercise Sheet. SHilal. 1 P a g e 1 P a g e experiment ( observing / measuring ) outcomes = results sample space = set of all outcomes events = subset of outcomes If we collect all outcomes we are forming a sample space If we collect some

More information

You are permitted to use your own calculator where it has been stamped as approved by the University.

You are permitted to use your own calculator where it has been stamped as approved by the University. ECONOMICS TRIPOS Part I Friday 11 June 004 9 1 Paper 3 Quantitative Methods in Economics This exam comprises four sections. Sections A and B are on Mathematics; Sections C and D are on Statistics. You

More information

Descriptive Statistics-I. Dr Mahmoud Alhussami

Descriptive Statistics-I. Dr Mahmoud Alhussami Descriptive Statistics-I Dr Mahmoud Alhussami Biostatistics What is the biostatistics? A branch of applied math. that deals with collecting, organizing and interpreting data using well-defined procedures.

More information

Algebra I. Mathematics Curriculum Framework. Revised 2004 Amended 2006

Algebra I. Mathematics Curriculum Framework. Revised 2004 Amended 2006 Algebra I Mathematics Curriculum Framework Revised 2004 Amended 2006 Course Title: Algebra I Course/Unit Credit: 1 Course Number: Teacher Licensure: Secondary Mathematics Grades: 9-12 Algebra I These are

More information

Centers at Malleshwaram Rajajinagar Yelahanka Mathikere

Centers at Malleshwaram Rajajinagar Yelahanka Mathikere 1. x, y, z together start a business. If x invests 3 times as much as y invests and y invests two third of what z invests, then the ratio of capitals of x, y, z is : (a) 3 : 9 : 2 (b) 6 : 3 : 2 (c) 3 :

More information

SOLVED BY CHANDA REHMAN Paper 1 FINALTERM EXAMINATION Fall 2009 MTH302- Business Mathematics & Statistics Time: 120 min Marks: 80

SOLVED BY CHANDA REHMAN Paper 1 FINALTERM EXAMINATION Fall 2009 MTH302- Business Mathematics & Statistics Time: 120 min Marks: 80 SOLVED BY CHANDA REHMAN Paper 1 FINALTERM EXAMINATION Fall 2009 MTH302- Business Mathematics & Statistics Time: 120 min Marks: 80 Question No: 1 In regression analysis, when we plot the values of dependent

More information

SOLVED BY CHANDA REHMAN Paper 1 FINALTERM EXAMINATION Fall 2009 MTH302- Business Mathematics & Statistics Time: 120 min Marks: 80

SOLVED BY CHANDA REHMAN Paper 1 FINALTERM EXAMINATION Fall 2009 MTH302- Business Mathematics & Statistics Time: 120 min Marks: 80 SOLVED BY CHANDA REHMAN Paper 1 FINALTERM EXAMINATION Fall 2009 MTH302- Business Mathematics & Statistics Time: 120 min Marks: 80 Question No: 1 ( Marks: 1 ) In regression analysis, when we plot the values

More information

CORRELATION AND REGRESSION

CORRELATION AND REGRESSION CORRELATION AND REGRESSION CORRELATION Introduction CORRELATION problems which involve measuring the strength of a relationship. Correlation Analysis involves various methods and techniques used for studying

More information

Representations of Data - Edexcel Past Exam Questions

Representations of Data - Edexcel Past Exam Questions Representations of Data - Edexcel Past Exam Questions 1. The number of caravans on Seaview caravan site on each night in August last year is summarised as follows: the least number of caravans was 10.

More information

Chapter 2: Tools for Exploring Univariate Data

Chapter 2: Tools for Exploring Univariate Data Stats 11 (Fall 2004) Lecture Note Introduction to Statistical Methods for Business and Economics Instructor: Hongquan Xu Chapter 2: Tools for Exploring Univariate Data Section 2.1: Introduction What is

More information

Math 1040 Final Exam Form A Introduction to Statistics Fall Semester 2010

Math 1040 Final Exam Form A Introduction to Statistics Fall Semester 2010 Math 1040 Final Exam Form A Introduction to Statistics Fall Semester 2010 Instructor Name Time Limit: 120 minutes Any calculator is okay. Necessary tables and formulas are attached to the back of the exam.

More information

Module 8 Probability

Module 8 Probability Module 8 Probability Probability is an important part of modern mathematics and modern life, since so many things involve randomness. The ClassWiz is helpful for calculating probabilities, especially those

More information

Find the value of n in order for the player to get an expected return of 9 counters per roll.

Find the value of n in order for the player to get an expected return of 9 counters per roll. . A biased die with four faces is used in a game. A player pays 0 counters to roll the die. The table below shows the possible scores on the die, the probability of each score and the number of counters

More information

Expectations. Definition Let X be a discrete rv with set of possible values D and pmf p(x). The expected value or mean value of X, denoted by E(X ) or

Expectations. Definition Let X be a discrete rv with set of possible values D and pmf p(x). The expected value or mean value of X, denoted by E(X ) or Expectations Expectations Definition Let X be a discrete rv with set of possible values D and pmf p(x). The expected value or mean value of X, denoted by E(X ) or µ X, is E(X ) = µ X = x D x p(x) Expectations

More information

MTH001- Elementary Mathematics Solved Final Term Papers For Final Term Exam Preparation

MTH001- Elementary Mathematics Solved Final Term Papers For Final Term Exam Preparation MTH001- Elementary Mathematics Solved Final Term Papers For Final Term Exam Preparation Question No: 1 The difference between the upper and the lower class boundaries of a class are known as: Class Marks

More information

Keystone Exams: Algebra

Keystone Exams: Algebra KeystoneExams:Algebra TheKeystoneGlossaryincludestermsanddefinitionsassociatedwiththeKeystoneAssessmentAnchorsand Eligible Content. The terms and definitions included in the glossary are intended to assist

More information

CONTINUOUS RANDOM VARIABLES

CONTINUOUS 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 information

Basics of Experimental Design. Review of Statistics. Basic Study. Experimental Design. When an Experiment is Not Possible. Studying Relations

Basics of Experimental Design. Review of Statistics. Basic Study. Experimental Design. When an Experiment is Not Possible. Studying Relations Basics of Experimental Design Review of Statistics And Experimental Design Scientists study relation between variables In the context of experiments these variables are called independent and dependent

More information

Statistics Boot Camp. Dr. Stephanie Lane Institute for Defense Analyses DATAWorks 2018

Statistics Boot Camp. Dr. Stephanie Lane Institute for Defense Analyses DATAWorks 2018 Statistics Boot Camp Dr. Stephanie Lane Institute for Defense Analyses DATAWorks 2018 March 21, 2018 Outline of boot camp Summarizing and simplifying data Point and interval estimation Foundations of statistical

More information

IDAHO EXTENDED CONTENT STANDARDS MATHEMATICS

IDAHO EXTENDED CONTENT STANDARDS MATHEMATICS Standard 1: Number and Operation Goal 1.1: Understand and use numbers. K.M.1.1.1A 1.M.1.1.1A Recognize symbolic Indicate recognition of expressions as numbers various # s in environments K.M.1.1.2A Demonstrate

More information

Practice Questions for Exam 1

Practice Questions for Exam 1 Practice Questions for Exam 1 1. A used car lot evaluates their cars on a number of features as they arrive in the lot in order to determine their worth. Among the features looked at are miles per gallon

More information

1. 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. 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 information

Probability Rules. MATH 130, Elements of Statistics I. J. Robert Buchanan. Fall Department of Mathematics

Probability Rules. MATH 130, Elements of Statistics I. J. Robert Buchanan. Fall Department of Mathematics Probability Rules MATH 130, Elements of Statistics I J. Robert Buchanan Department of Mathematics Fall 2018 Introduction Probability is a measure of the likelihood of the occurrence of a certain behavior

More information

Chapter 6 Assessment. 3. Which points in the data set below are outliers? Multiple Choice. 1. The boxplot summarizes the test scores of a math class?

Chapter 6 Assessment. 3. Which points in the data set below are outliers? Multiple Choice. 1. The boxplot summarizes the test scores of a math class? Chapter Assessment Multiple Choice 1. The boxplot summarizes the test scores of a math class? Test Scores 3. Which points in the data set below are outliers? 73, 73, 7, 75, 75, 75, 77, 77, 77, 77, 7, 7,

More information

IB MATH SL Test Review 2.1

IB MATH SL Test Review 2.1 Name IB MATH SL Test Review 2.1 Date 1. A student measured the diameters of 80 snail shells. His results are shown in the following cumulative frequency graph. The lower quartile (LQ) is 14 mm and is marked

More information

OCR Maths S1. Topic Questions from Papers. Representation of Data

OCR Maths S1. Topic Questions from Papers. Representation of Data OCR Maths S1 Topic Questions from Papers Representation of Data PhysicsAndMathsTutor.com 12 The back-to-back stem-and-leaf diagram below shows the number of hours of television watched per week by each

More information

Note: Solve these papers by yourself This VU Group is not responsible for any solved content. Paper 1. Question No: 3 ( Marks: 1 ) - Please choose one

Note: Solve these papers by yourself This VU Group is not responsible for any solved content. Paper 1. Question No: 3 ( Marks: 1 ) - Please choose one Paper Composed & Solved STA30 Finalterm Papers 7 Papers Solved.. By Arman Makhani Statistic and Probability STA30 7Final term paper Question No: ( Marks: ) - Please choose one Mean deviation is always:

More information

Algebra I Prioritized Curriculum

Algebra I Prioritized Curriculum Essential Important Compact Prioritized Curriculum M.O.A1.2.1 formulate algebraic expressions for use in equations and inequalities that require planning to accurately model real-world problems. M.O.A1.2.2

More information

Lesson One Hundred and Sixty-One Normal Distribution for some Resolution

Lesson One Hundred and Sixty-One Normal Distribution for some Resolution STUDENT MANUAL ALGEBRA II / LESSON 161 Lesson One Hundred and Sixty-One Normal Distribution for some Resolution Today we re going to continue looking at data sets and how they can be represented in different

More information

CURRICULUM UNIT MAP 1 ST QUARTER. COURSE TITLE: Applied Algebra 1 GRADE: 9

CURRICULUM UNIT MAP 1 ST QUARTER. COURSE TITLE: Applied Algebra 1 GRADE: 9 1 ST QUARTER Unit 1: Exploring Rational Numbers WEEK 1-3 Objectives: Write equations and formulas to solve application problems Compare order and plot rational and irrational numbers, including square

More information

8. f(x)= x 3 + 9x 2 + 6x 56

8. f(x)= x 3 + 9x 2 + 6x 56 ALGEBRA 2 FINAL EXAM STUDY GUIDE Unit: Polynomials 1. (2x 4 7x 3 + 4x 7) + (2x 2 4x + 8) 2. (-4x 3 + 7x 6) (7x 4 + 3x 3 2x 4) 3. (3x 3 + 2x + 7)(x 2 4) 4. x 4 4x 3 3x 2 + 14x 8 (x 3) (Long AND synthetic

More information

FSA Algebra I End-of-Course Review Packet

FSA Algebra I End-of-Course Review Packet FSA Algebra I End-of-Course Review Packet Table of Contents MAFS.912.N-RN.1.2 EOC Practice... 3 MAFS.912.N-RN.2.3 EOC Practice... 5 MAFS.912.N-RN.1.1 EOC Practice... 8 MAFS.912.S-ID.1.1 EOC Practice...

More information

Probability Distributions.

Probability Distributions. Probability Distributions http://www.pelagicos.net/classes_biometry_fa18.htm Probability Measuring Discrete Outcomes Plotting probabilities for discrete outcomes: 0.6 0.5 0.4 0.3 0.2 0.1 NOTE: Area within

More information

Distribusi Binomial, Poisson, dan Hipergeometrik

Distribusi Binomial, Poisson, dan Hipergeometrik Distribusi Binomial, Poisson, dan Hipergeometrik CHAPTER TOPICS The Probability of a Discrete Random Variable Covariance and Its Applications in Finance Binomial Distribution Poisson Distribution Hypergeometric

More information

HYPOTHESIS TESTING. Hypothesis Testing

HYPOTHESIS TESTING. Hypothesis Testing MBA 605 Business Analytics Don Conant, PhD. HYPOTHESIS TESTING Hypothesis testing involves making inferences about the nature of the population on the basis of observations of a sample drawn from the population.

More information

18.05 Final Exam. Good luck! Name. No calculators. Number of problems 16 concept questions, 16 problems, 21 pages

18.05 Final Exam. Good luck! Name. No calculators. Number of problems 16 concept questions, 16 problems, 21 pages Name No calculators. 18.05 Final Exam Number of problems 16 concept questions, 16 problems, 21 pages Extra paper If you need more space we will provide some blank paper. Indicate clearly that your solution

More information

Discrete and continuous

Discrete 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 information

Table of z values and probabilities for the standard normal distribution. z is the first column plus the top row. Each cell shows P(X z).

Table of z values and probabilities for the standard normal distribution. z is the first column plus the top row. Each cell shows P(X z). Table of z values and probabilities for the standard normal distribution. z is the first column plus the top row. Each cell shows P(X z). For example P(X 1.04) =.8508. For z < 0 subtract the value from

More information

UNIVERSITY OF MASSACHUSETTS. Department of Mathematics and Statistics. Basic Exam - Applied Statistics. Tuesday, January 17, 2017

UNIVERSITY OF MASSACHUSETTS. Department of Mathematics and Statistics. Basic Exam - Applied Statistics. Tuesday, January 17, 2017 UNIVERSITY OF MASSACHUSETTS Department of Mathematics and Statistics Basic Exam - Applied Statistics Tuesday, January 17, 2017 Work all problems 60 points are needed to pass at the Masters Level and 75

More information

Salt Lake Community College MATH 1040 Final Exam Fall Semester 2011 Form E

Salt 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 information

Math Mammoth End-of-the-Year Test, Grade 6, Answer Key

Math Mammoth End-of-the-Year Test, Grade 6, Answer Key Math Mammoth End-of-the-Year Test, Grade 6, Answer Key Please see the test for grading instructions. The Basic Operations 1. a. 2,000 38 = 52 R4. There will be 52 bags of cinnamon. 2. a. 2 5 = 32 b. 5

More information

Record your answers and work on the separate answer sheet provided.

Record your answers and work on the separate answer sheet provided. MATH 106 FINAL EXAMINATION This is an open-book exam. You may refer to your text and other course materials as you work on the exam, and you may use a calculator. You must complete the exam individually.

More information

Resistant Measure - A statistic that is not affected very much by extreme observations.

Resistant Measure - A statistic that is not affected very much by extreme observations. Chapter 1.3 Lecture Notes & Examples Section 1.3 Describing Quantitative Data with Numbers (pp. 50-74) 1.3.1 Measuring Center: The Mean Mean - The arithmetic average. To find the mean (pronounced x bar)

More information

The point value of each problem is in the left-hand margin. You must show your work to receive any credit, except in problem 1. Work neatly.

The point value of each problem is in the left-hand margin. You must show your work to receive any credit, except in problem 1. Work neatly. Introduction to Statistics Math 1040 Sample Final Exam - Chapters 1-11 6 Problem Pages Time Limit: 1 hour and 50 minutes Open Textbook Calculator Allowed: Scientific Name: The point value of each problem

More information