EXAM 3 Math 1342 Elementary Statistics 6-7

Size: px
Start display at page:

Download "EXAM 3 Math 1342 Elementary Statistics 6-7"

Transcription

1 EXAM 3 Math 1342 Elementary Statistics 6-7 Name Date ********************************************************************************************************************************************** MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) Find the critical value zc that corresponds to a 95% confidence level. A) ±2.575 B) ±1.645 C) ±2.33 D ±1.96 1) 2) A random sample of 120 students has a test score average with a standard deviation of 9.2. Find the margin of error if c = A) 0.82 B) 0.18 C) 1.96 D ) 3) A random sample of 150 students has a grade point average with a mean of 2.86 and with a standard deviation of Construct the confidence interval for the population mean, μ, if c = A) (2.31, 3.88) B) (2.51, 3.53) C) (2.43, 3.79) D (2.71, 3.01) 3) 4) A nurse at a local hospital is interested in estimating the birth weight of infants. How large a sample must she select if she desires to be 99% confident that the true mean is within 2 ounces of the sample mean? The standard deviation of the birth weights is known to be 7 ounces. A) 81 B) 82 C) 9 D 10 4) 5) Find the critical value, tc, for c = 0.90 and n = 15. A) B) C) D ) 6) Find the value of E, the margin of error, for c = 0.99, n = 10 and s = 3.2. A) 3.21 B) 3.29 C) 2.85 D ) 7) Find the value of E, the margin of error, for c = 0.95, n = 15 and s = 5.2. A) 2.36 B) 0.74 C) 2.96 D ) A-1

2 8) When 435 college students were surveyed,120 said they own their car. Find a point estimate for p, the population proportion of students who own their cars. A) B) C) D ) 9) In a survey of 2480 golfers, 15% said they were left-handed. The survey's margin of error was 3%. Construct a confidence interval for the proportion of left-handed golfers. A) (0.12, 0.18) B) (0.11, 0.19) C) (0.12, 0.15) D (0.18, 0.21) 9) 10) A manufacturer of golf equipment wishes to estimate the number of left-handed golfers. How large a sample is needed in order to be 98% confident that the sample proportion will not differ from the true proportion by more than 2%? A previous study indicates that the proportion of left-handed golfers is 8%. A) 707 B) 1086 C) 999 D 17 10) 11) Find the critical values, X 2 R and X 2 L, for c = 0.95 and n = ) A) and B) and C) and D and Assume the sample is taken from a normally distributed population and construct the indicated confidence interval. 12) The mean replacement time for a random sample of 12 microwave ovens is 8.6 years with a 12) standard deviation of 4.2 years. Construct the 98% confidence interval for the population variance, σ2. A) (7.8, 63.6) B) (7.4, 54.3) C) (1.9, 15.1) D (2.8, 8.0) 13) The stem-and-leaf plot shows the test scores of 16 randomly selected students. Construct a 99% confidence interval for the population standard deviation. 13) A) (7.61, 20.33) B) (57.97, ) C) (7.89, 19.07) D (62.18, ) A-2

3 Provide an appropriate response. 14) Given H0: p 80% and Ha: p < 80%, determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. A) two-tailed B) left-tailed C) right-tailed 14) 15) Given H0: μ 25 and Ha: μ > 25, determine whether the hypothesis test is left-tailed, right-tailed, or two-tailed. A) two-tailed B) right-tailed C) left-tailed 15) 16) A researcher claims that 62% of voters favor gun control. Determine whether the hypothesis test for this claim is left-tailed, right-tailed, or two-tailed. A) two-tailed B) right-tailed C) left-tailed 16) 17) The mean age of bus drivers in Chicago is 50.2 years. If a hypothesis test is performed, how should you interpret a decision that rejects the null hypothesis? A) There is sufficient evidence to support the claim μ = B) There is not sufficient evidence to reject the claim μ = C) There is sufficient evidence to reject the claim μ = D There is not sufficient evidence to support the claim μ = ) 18) The mean age of bus drivers in Chicago is 59.3 years. If a hypothesis test is performed, how should you interpret a decision that fails to reject the null hypothesis? A) There is sufficient evidence to reject the claim μ = B) There is sufficient evidence to support the claim μ = C) There is not sufficient evidence to reject the claim μ = D There is not sufficient evidence to support the claim μ = ) 19) Given H0: μ 12, for which confidence interval should you reject H0? A) (13, 16) B) (10, 13) C) (11.5, 12.5) 19) 20) Suppose you are using α = 0.05 to test the claim that μ > 14 using a P-value. You are given the sample statistics n = 50, x = 14.3, and s = 1.2. Find the P-value. A) B) C) D ) A-3

4 21) Given H0: μ = 25, Ha: μ 25, and P = Do you reject or fail to reject H0 at the 0.01 level of significance? A) not sufficient information to decide B) fail to reject H0 C) reject H0 21) 22) Find the critical value for a right-tailed test with α = 0.01 and n = 75. A) B) 2.33 C) 1.96 D ) 23) You wish to test the claim that μ > 32 at a level of significance of α = 0.05 and are given sample statistics n = 50, x = 32.3, and s = 1.2. Compute the value of the standardized test statistic. Round your answer to two decimal places. A) 3.11 B) 0.98 C) 1.77 D ) 24) You wish to test the claim that μ 38 at a level of significance of α = 0.01 and are given sample statistics n = 40, x = 39.8, and s = 4.3. Compute the value of the standardized test statistic. Round your answer to two decimal places. A) 2.12 B) 3.51 C) 1.96 D ) 25) You wish to test the claim that μ = 1240 at a level of significance of α = 0.01 and are given sample statistics n = 35, x = 1210 and s = 82. Compute the value of the standardized test statistic. Round your answer to two decimal places. A) B) C) D ) 26) Suppose you want to test the claim that μ 3.5. Given a sample size of n = 47 and a level of significance of α = 0.10, when should you reject H0? A) Reject H0 if the standardized test statistic is greater than or less than B) Reject H0 if the standardized test statistic is greater than or less than C) Reject H0 if the standardized test statistic is greater than 1.96 or less than D Reject H0 if the standardized test statistic is greater than 2.33 or less than ) 27) Find the critical values for a sample with n = 15 and α = 0.05 if H0: μ 20. A) B) C) D ) A-4

5 28) Find the standardized test statistic t for a sample with n = 12, x = 22.2, s = 2.2, and α = 0.01 if H0: μ = 21. Round your answer to three decimal places. A) B) C) D ) 29) Determine whether the normal sampling distribution can be used. The claim is p < 0.25 and the sample size is n = 18. A) Use the normal distribution. B) Do not use the normal distribution. 29) 30) Find the critical X2 -values to test the claim σ2 = 4.3 if n = 12 and α = A) 4.575, B) 3.053, C) 3.816, D 2.603, ) 31) Find the critical X2 -value to test the claim σ2 1.8 if n = 15 and α = A) B) C) D ) 32) Find the critical X2 -value to test the claim σ2 > 1.9 if n = 18 and α = A) B) C) D ) 33) Compute the standardized test statistic, X2, to test the claim σ2 = 21.5 if n = 12, s2 = 18, and α = A) B) C) D ) A-5

6 Answer Key Testname: UNTITLED1 1) D 2) C 3) D 4) B 5) C 6) B 7) D 8) D 9) A 10) C 11) D 12) A 13) A 14) B 15) B 16) A 17) C 18) C 19) A 20) D 21) B 22) B 23) C 24) D 25) B 26) B 27) C 28) A 29) B 30) C 31) B 32) A 33) D A-6

their contents. If the sample mean is 15.2 oz. and the sample standard deviation is 0.50 oz., find the 95% confidence interval of the true mean.

their contents. If the sample mean is 15.2 oz. and the sample standard deviation is 0.50 oz., find the 95% confidence interval of the true mean. Math 1342 Exam 3-Review Chapters 7-9 HCCS **************************************************************************************** Name Date **********************************************************************************************

More information

hypotheses. P-value Test for a 2 Sample z-test (Large Independent Samples) n > 30 P-value Test for a 2 Sample t-test (Small Samples) n < 30 Identify α

hypotheses. P-value Test for a 2 Sample z-test (Large Independent Samples) n > 30 P-value Test for a 2 Sample t-test (Small Samples) n < 30 Identify α Chapter 8 Notes Section 8-1 Independent and Dependent Samples Independent samples have no relation to each other. An example would be comparing the costs of vacationing in Florida to the cost of vacationing

More information

i=1 X i/n i=1 (X i X) 2 /(n 1). Find the constant c so that the statistic c(x X n+1 )/S has a t-distribution. If n = 8, determine k such that

i=1 X i/n i=1 (X i X) 2 /(n 1). Find the constant c so that the statistic c(x X n+1 )/S has a t-distribution. If n = 8, determine k such that Math 47 Homework Assignment 4 Problem 411 Let X 1, X,, X n, X n+1 be a random sample of size n + 1, n > 1, from a distribution that is N(µ, σ ) Let X = n i=1 X i/n and S = n i=1 (X i X) /(n 1) Find the

More information

The point value of each problem is in the left-hand margin. You must show your work to receive any credit, except on problems 1 & 2. Work neatly.

The point value of each problem is in the left-hand margin. You must show your work to receive any credit, except on problems 1 & 2. Work neatly. Introduction to Statistics Math 1040 Sample Exam III Chapters 8-10 4 Problem Pages 3 Formula/Table Pages Time Limit: 90 Minutes 1 No Scratch Paper Calculator Allowed: Scientific Name: The point value of

More information

Review 6. n 1 = 85 n 2 = 75 x 1 = x 2 = s 1 = 38.7 s 2 = 39.2

Review 6. n 1 = 85 n 2 = 75 x 1 = x 2 = s 1 = 38.7 s 2 = 39.2 Review 6 Use the traditional method to test the given hypothesis. Assume that the samples are independent and that they have been randomly selected ) A researcher finds that of,000 people who said that

More information

CIVL /8904 T R A F F I C F L O W T H E O R Y L E C T U R E - 8

CIVL /8904 T R A F F I C F L O W T H E O R Y L E C T U R E - 8 CIVL - 7904/8904 T R A F F I C F L O W T H E O R Y L E C T U R E - 8 Chi-square Test How to determine the interval from a continuous distribution I = Range 1 + 3.322(logN) I-> Range of the class interval

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

M(t) = 1 t. (1 t), 6 M (0) = 20 P (95. X i 110) i=1

M(t) = 1 t. (1 t), 6 M (0) = 20 P (95. X i 110) i=1 Math 66/566 - Midterm Solutions NOTE: These solutions are for both the 66 and 566 exam. The problems are the same until questions and 5. 1. The moment generating function of a random variable X is M(t)

More information

Single Sample Means. SOCY601 Alan Neustadtl

Single Sample Means. SOCY601 Alan Neustadtl Single Sample Means SOCY601 Alan Neustadtl The Central Limit Theorem If we have a population measured by a variable with a mean µ and a standard deviation σ, and if all possible random samples of size

More information

Chapter 10. Correlation and Regression. McGraw-Hill, Bluman, 7th ed., Chapter 10 1

Chapter 10. Correlation and Regression. McGraw-Hill, Bluman, 7th ed., Chapter 10 1 Chapter 10 Correlation and Regression McGraw-Hill, Bluman, 7th ed., Chapter 10 1 Chapter 10 Overview Introduction 10-1 Scatter Plots and Correlation 10- Regression 10-3 Coefficient of Determination and

More information

STAT100 Elementary Statistics and Probability

STAT100 Elementary Statistics and Probability STAT100 Elementary Statistics and Probability Exam, Monday, August 11, 014 Solution Show all work clearly and in order, and circle your final answers. Justify your answers algebraically whenever possible.

More information

2.57 when the critical value is 1.96, what decision should be made?

2.57 when the critical value is 1.96, what decision should be made? Math 1342 Ch. 9-10 Review Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. 9.1 1) If the test value for the difference between the means of two large

More information

Lecture 14. Analysis of Variance * Correlation and Regression. The McGraw-Hill Companies, Inc., 2000

Lecture 14. Analysis of Variance * Correlation and Regression. The McGraw-Hill Companies, Inc., 2000 Lecture 14 Analysis of Variance * Correlation and Regression Outline Analysis of Variance (ANOVA) 11-1 Introduction 11-2 Scatter Plots 11-3 Correlation 11-4 Regression Outline 11-5 Coefficient of Determination

More information

Lecture 14. Outline. Outline. Analysis of Variance * Correlation and Regression Analysis of Variance (ANOVA)

Lecture 14. Outline. Outline. Analysis of Variance * Correlation and Regression Analysis of Variance (ANOVA) Outline Lecture 14 Analysis of Variance * Correlation and Regression Analysis of Variance (ANOVA) 11-1 Introduction 11- Scatter Plots 11-3 Correlation 11-4 Regression Outline 11-5 Coefficient of Determination

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

PSY 216. Assignment 9 Answers. Under what circumstances is a t statistic used instead of a z-score for a hypothesis test

PSY 216. Assignment 9 Answers. Under what circumstances is a t statistic used instead of a z-score for a hypothesis test PSY 216 Assignment 9 Answers 1. Problem 1 from the text Under what circumstances is a t statistic used instead of a z-score for a hypothesis test The t statistic should be used when the population standard

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. describes the.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. describes the. Practice Test 3 Math 1342 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. 1) The term z α/2 σn describes the. 1) A) maximum error of estimate

More information

AMS7: WEEK 7. CLASS 1. More on Hypothesis Testing Monday May 11th, 2015

AMS7: WEEK 7. CLASS 1. More on Hypothesis Testing Monday May 11th, 2015 AMS7: WEEK 7. CLASS 1 More on Hypothesis Testing Monday May 11th, 2015 Testing a Claim about a Standard Deviation or a Variance We want to test claims about or 2 Example: Newborn babies from mothers taking

More information

Inference About Two Means: Independent Samples

Inference About Two Means: Independent Samples Inference About Two Means: Independent Samples MATH 130, Elements of Statistics I J. Robert Buchanan Department of Mathematics Fall 2017 Motivation Suppose we wish to study the mean absorption in muscle

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

Dover- Sherborn High School Mathematics Curriculum Probability and Statistics

Dover- Sherborn High School Mathematics Curriculum Probability and Statistics Mathematics Curriculum A. DESCRIPTION This is a full year courses designed to introduce students to the basic elements of statistics and probability. Emphasis is placed on understanding terminology and

More information

POLI 443 Applied Political Research

POLI 443 Applied Political Research POLI 443 Applied Political Research Session 4 Tests of Hypotheses The Normal Curve Lecturer: Prof. A. Essuman-Johnson, Dept. of Political Science Contact Information: aessuman-johnson@ug.edu.gh College

More information

Inferences About Two Population Proportions

Inferences About Two Population Proportions Inferences About Two Population Proportions MATH 130, Elements of Statistics I J. Robert Buchanan Department of Mathematics Fall 2018 Background Recall: for a single population the sampling proportion

More information

χ test statistics of 2.5? χ we see that: χ indicate agreement between the two sets of frequencies.

χ test statistics of 2.5? χ we see that: χ indicate agreement between the two sets of frequencies. I. T or F. (1 points each) 1. The χ -distribution is symmetric. F. The χ may be negative, zero, or positive F 3. The chi-square distribution is skewed to the right. T 4. The observed frequency of a cell

More information

Inferences About Two Proportions

Inferences About Two Proportions Inferences About Two Proportions Quantitative Methods II Plan for Today Sampling two populations Confidence intervals for differences of two proportions Testing the difference of proportions Examples 1

More information

SMAM 314 Exam 3d Name

SMAM 314 Exam 3d Name SMAM 314 Exam 3d Name 1. Mark the following statements True T or False F. (6 points -2 each) T A. A process is out of control if at a particular point in time the reading is more than 3 standard deviations

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

Questions 3.83, 6.11, 6.12, 6.17, 6.25, 6.29, 6.33, 6.35, 6.50, 6.51, 6.53, 6.55, 6.59, 6.60, 6.65, 6.69, 6.70, 6.77, 6.79, 6.89, 6.

Questions 3.83, 6.11, 6.12, 6.17, 6.25, 6.29, 6.33, 6.35, 6.50, 6.51, 6.53, 6.55, 6.59, 6.60, 6.65, 6.69, 6.70, 6.77, 6.79, 6.89, 6. Chapter 7 Reading 7.1, 7.2 Questions 3.83, 6.11, 6.12, 6.17, 6.25, 6.29, 6.33, 6.35, 6.50, 6.51, 6.53, 6.55, 6.59, 6.60, 6.65, 6.69, 6.70, 6.77, 6.79, 6.89, 6.112 Introduction In Chapter 5 and 6, we emphasized

More information

A3. Statistical Inference

A3. Statistical Inference Appendi / A3. Statistical Inference / Mean, One Sample-1 A3. Statistical Inference Population Mean μ of a Random Variable with known standard deviation σ, and random sample of size n 1 Before selecting

More information

a) The runner completes his next 1500 meter race in under 4 minutes: <

a) The runner completes his next 1500 meter race in under 4 minutes: < I. Let X be the time it takes a runner to complete a 1500 meter race. It is known that for this specific runner, the random variable X has a normal distribution with mean μ = 250.0 seconds and standard

More information

QUIZ 4 (CHAPTER 7) - SOLUTIONS MATH 119 SPRING 2013 KUNIYUKI 105 POINTS TOTAL, BUT 100 POINTS = 100%

QUIZ 4 (CHAPTER 7) - SOLUTIONS MATH 119 SPRING 2013 KUNIYUKI 105 POINTS TOTAL, BUT 100 POINTS = 100% QUIZ 4 (CHAPTER 7) - SOLUTIONS MATH 119 SPRING 013 KUNIYUKI 105 POINTS TOTAL, BUT 100 POINTS = 100% 1) We want to conduct a study to estimate the mean I.Q. of a pop singer s fans. We want to have 96% confidence

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

T test for two Independent Samples. Raja, BSc.N, DCHN, RN Nursing Instructor Acknowledgement: Ms. Saima Hirani June 07, 2016

T test for two Independent Samples. Raja, BSc.N, DCHN, RN Nursing Instructor Acknowledgement: Ms. Saima Hirani June 07, 2016 T test for two Independent Samples Raja, BSc.N, DCHN, RN Nursing Instructor Acknowledgement: Ms. Saima Hirani June 07, 2016 Q1. The mean serum creatinine level is measured in 36 patients after they received

More information

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Chapter 7 Exam A Name 1) How do you determine whether to use the z or t distribution in computing the margin of error, E = z α/2 σn or E = t α/2 s n? 1) Use the given degree of confidence and sample data

More information

Chapter 9 Inferences from Two Samples

Chapter 9 Inferences from Two Samples Chapter 9 Inferences from Two Samples 9-1 Review and Preview 9-2 Two Proportions 9-3 Two Means: Independent Samples 9-4 Two Dependent Samples (Matched Pairs) 9-5 Two Variances or Standard Deviations Review

More information

(8 One-and Two-Sample Test Of Hypothesis)

(8 One-and Two-Sample Test Of Hypothesis) (8 One-and Two-Sample Test Of Hypothesis) Single Mean: Q1) Suppose that we are interested in making some statistical inferences about the mean, μ, of a normal population with standard deviation σ = 2.0.

More information

Chapter 7: Hypothesis Testing - Solutions

Chapter 7: Hypothesis Testing - Solutions Chapter 7: Hypothesis Testing - Solutions 7.1 Introduction to Hypothesis Testing The problem with applying the techniques learned in Chapter 5 is that typically, the population mean (µ) and standard deviation

More information

Math 101: Elementary Statistics Tests of Hypothesis

Math 101: Elementary Statistics Tests of Hypothesis Tests of Hypothesis Department of Mathematics and Computer Science University of the Philippines Baguio November 15, 2018 Basic Concepts of Statistical Hypothesis Testing A statistical hypothesis is an

More information

Visual interpretation with normal approximation

Visual interpretation with normal approximation Visual interpretation with normal approximation H 0 is true: H 1 is true: p =0.06 25 33 Reject H 0 α =0.05 (Type I error rate) Fail to reject H 0 β =0.6468 (Type II error rate) 30 Accept H 1 Visual interpretation

More information

Study Ch. 9.3, #47 53 (45 51), 55 61, (55 59)

Study Ch. 9.3, #47 53 (45 51), 55 61, (55 59) GOALS: 1. Understand that 2 approaches of hypothesis testing exist: classical or critical value, and p value. We will use the p value approach. 2. Understand the critical value for the classical approach

More information

Test 3 Practice Test A. NOTE: Ignore Q10 (not covered)

Test 3 Practice Test A. NOTE: Ignore Q10 (not covered) Test 3 Practice Test A NOTE: Ignore Q10 (not covered) MA 180/418 Midterm Test 3, Version A Fall 2010 Student Name (PRINT):............................................. Student Signature:...................................................

More information

Section 9.4. Notation. Requirements. Definition. Inferences About Two Means (Matched Pairs) Examples

Section 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

ST Introduction to Statistics for Engineers. Solutions to Sample Midterm for 2002

ST Introduction to Statistics for Engineers. Solutions to Sample Midterm for 2002 ST 314 - Introduction to Statistics for Engineers Solutions to Sample Midterm for 2002 Problem 1. (15 points) The weight of a human joint replacement part is normally distributed with a mean of 2.00 ounces

More information

1) What is the probability that the random variable has a value less than 3? 1)

1) What is the probability that the random variable has a value less than 3? 1) Ch 6 and 7 Worksheet Disclaimer; The actual exam differs NOTE: ON THIS TEST YOU WILL NEED TO USE TABLES (NOT YOUR CALCULATOR) TO FIND PROBABILITIES UNDER THE NORMAL OR CHI SQUARED OR T DISTRIBUTION! SHORT

More information

Difference between means - t-test /25

Difference between means - t-test /25 Difference between means - t-test 1 Discussion Question p492 Ex 9-4 p492 1-3, 6-8, 12 Assume all variances are not equal. Ignore the test for variance. 2 Students will perform hypothesis tests for two

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

STAT Chapter 8: Hypothesis Tests

STAT Chapter 8: Hypothesis Tests STAT 515 -- Chapter 8: Hypothesis Tests CIs are possibly the most useful forms of inference because they give a range of reasonable values for a parameter. But sometimes we want to know whether one particular

More information

STP 226 EXAMPLE EXAM #3 INSTRUCTOR:

STP 226 EXAMPLE EXAM #3 INSTRUCTOR: STP 226 EXAMPLE EXAM #3 INSTRUCTOR: Honor Statement: I have neither given nor received information regarding this exam, and I will not do so until all exams have been graded and returned. Signed Date PRINTED

More information

CBA4 is live in practice mode this week exam mode from Saturday!

CBA4 is live in practice mode this week exam mode from Saturday! Announcements CBA4 is live in practice mode this week exam mode from Saturday! Material covered: Confidence intervals (both cases) 1 sample hypothesis tests (both cases) Hypothesis tests for 2 means as

More information

Hypothesis Testing: One Sample

Hypothesis Testing: One Sample Hypothesis Testing: One Sample ELEC 412 PROF. SIRIPONG POTISUK General Procedure Although the exact value of a parameter may be unknown, there is often some idea(s) or hypothesi(e)s about its true value

More information

Solution: First note that the power function of the test is given as follows,

Solution: First note that the power function of the test is given as follows, Problem 4.5.8: Assume the life of a tire given by X is distributed N(θ, 5000 ) Past experience indicates that θ = 30000. The manufacturere claims the tires made by a new process have mean θ > 30000. Is

More information

Statistical Inference for Means

Statistical Inference for Means Statistical Inference for Means Jamie Monogan University of Georgia February 18, 2011 Jamie Monogan (UGA) Statistical Inference for Means February 18, 2011 1 / 19 Objectives By the end of this meeting,

More information

The t-test: A z-score for a sample mean tells us where in the distribution the particular mean lies

The t-test: A z-score for a sample mean tells us where in the distribution the particular mean lies The t-test: So Far: Sampling distribution benefit is that even if the original population is not normal, a sampling distribution based on this population will be normal (for sample size > 30). Benefit

More information

Population 1 Population 2

Population 1 Population 2 Two Population Case Testing the Difference Between Two Population Means Sample of Size n _ Sample mean = x Sample s.d.=s x Sample of Size m _ Sample mean = y Sample s.d.=s y Pop n mean=μ x Pop n s.d.=

More information

Soc3811 Second Midterm Exam

Soc3811 Second Midterm Exam Soc38 Second Midterm Exam SEMI-OPE OTE: One sheet of paper, signed & turned in with exam booklet Bring our Own Pencil with Eraser and a Hand Calculator! Standardized Scores & Probability If we know the

More information

Introduction to Business Statistics QM 220 Chapter 12

Introduction to Business Statistics QM 220 Chapter 12 Department of Quantitative Methods & Information Systems Introduction to Business Statistics QM 220 Chapter 12 Dr. Mohammad Zainal 12.1 The F distribution We already covered this topic in Ch. 10 QM-220,

More information

Chapter # classifications of unlikely, likely, or very likely to describe possible buying of a product?

Chapter # classifications of unlikely, likely, or very likely to describe possible buying of a product? A. Attribute data B. Numerical data C. Quantitative data D. Sample data E. Qualitative data F. Statistic G. Parameter Chapter #1 Match the following descriptions with the best term or classification given

More information

, 0 x < 2. a. Find the probability that the text is checked out for more than half an hour but less than an hour. = (1/2)2

, 0 x < 2. a. Find the probability that the text is checked out for more than half an hour but less than an hour. = (1/2)2 Math 205 Spring 206 Dr. Lily Yen Midterm 2 Show all your work Name: 8 Problem : The library at Capilano University has a copy of Math 205 text on two-hour reserve. Let X denote the amount of time the text

More information

The Purpose of Hypothesis Testing

The Purpose of Hypothesis Testing Section 8 1A:! An Introduction to Hypothesis Testing The Purpose of Hypothesis Testing See s Candy states that a box of it s candy weighs 16 oz. They do not mean that every single box weights exactly 16

More information

1 Binomial Probability [15 points]

1 Binomial Probability [15 points] Economics 250 Assignment 2 (Due November 13, 2017, in class) i) You should do the assignment on your own, Not group work! ii) Submit the completed work in class on the due date. iii) Remember to include

More information

Sociology 301. Hypothesis Testing + t-test for Comparing Means. Hypothesis Testing. Hypothesis Testing. Liying Luo 04.14

Sociology 301. Hypothesis Testing + t-test for Comparing Means. Hypothesis Testing. Hypothesis Testing. Liying Luo 04.14 Sociology 301 Hypothesis Testing + t-test for Comparing Means Liying Luo 04.14 Hypothesis Testing 5. State a technical decision and a substan;ve conclusion Hypothesis Testing A random sample of 100 UD

More information

MATH 227 CP 7 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

MATH 227 CP 7 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. MATH 227 CP 7 SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Find the mean, µ, for the binomial distribution which has the stated values of n and p.

More information

First we look at some terms to be used in this section.

First we look at some terms to be used in this section. 8 Hypothesis Testing 8.1 Introduction MATH1015 Biostatistics Week 8 In Chapter 7, we ve studied the estimation of parameters, point or interval estimates. The construction of CI relies on the sampling

More information

Homework 7. Name: ID# Section

Homework 7. Name: ID# Section Homework 7 Name: ID# Section 1 Find the probabilities for each of the following using the standard normal distribution. 1. P(0 < z < 1.69) 2. P(-1.57 < z < 0) 3. P(z > 1.16) 4. P(z < -1.77) 5. P(-2.46

More information

Hypothesis for Means and Proportions

Hypothesis 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 information

CH.9 Tests of Hypotheses for a Single Sample

CH.9 Tests of Hypotheses for a Single Sample CH.9 Tests of Hypotheses for a Single Sample Hypotheses testing Tests on the mean of a normal distributionvariance known Tests on the mean of a normal distributionvariance unknown Tests on the variance

More information

Classroom Activity 7 Math 113 Name : 10 pts Intro to Applied Stats

Classroom Activity 7 Math 113 Name : 10 pts Intro to Applied Stats Classroom Activity 7 Math 113 Name : 10 pts Intro to Applied Stats Materials Needed: Bags of popcorn, watch with second hand or microwave with digital timer. Instructions: Follow the instructions on the

More information

Soc 3811 Basic Social Statistics Second Midterm Exam Spring Your Name [50 points]: ID #: ANSWERS

Soc 3811 Basic Social Statistics Second Midterm Exam Spring Your Name [50 points]: ID #: ANSWERS Soc 3811 Basic Social Statistics Second idterm Exam Spring 010 our Name [50 points]: ID #: INSTRUCTIONS: ANSERS (A) rite your name on the line at top front of every sheet. (B) If you use a page of notes

More information

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Math Review Summer 0 Name MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Classif the hpothesis test as two-tailed, left-tailed, or right-tailed.

More information

Chapter 5: HYPOTHESIS TESTING

Chapter 5: HYPOTHESIS TESTING MATH411: Applied Statistics Dr. YU, Chi Wai Chapter 5: HYPOTHESIS TESTING 1 WHAT IS HYPOTHESIS TESTING? As its name indicates, it is about a test of hypothesis. To be more precise, we would first translate

More information

FRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE

FRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE FRANKLIN UNIVERSITY PROFICIENCY EXAM (FUPE) STUDY GUIDE Course Title: Probability and Statistics (MATH 80) Recommended Textbook(s): Number & Type of Questions: Probability and Statistics for Engineers

More information

STAT 31 Practice Midterm 2 Fall, 2005

STAT 31 Practice Midterm 2 Fall, 2005 STAT 31 Practice Midterm 2 Fall, 2005 INSTRUCTIONS: BOTH THE BUBBLE SHEET AND THE EXAM WILL BE COLLECTED. YOU MUST PRINT YOUR NAME AND SIGN THE HONOR PLEDGE ON THE BUBBLE SHEET. YOU MUST BUBBLE-IN YOUR

More information

Lecture Slides. Elementary Statistics Eleventh Edition. by Mario F. Triola. and the Triola Statistics Series 9.1-1

Lecture Slides. Elementary Statistics Eleventh Edition. by Mario F. Triola. and the Triola Statistics Series 9.1-1 Lecture Slides Elementary Statistics Eleventh Edition and the Triola Statistics Series by Mario F. Triola Copyright 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved. 9.1-1 Chapter 9 Inferences

More information

The Empirical Rule, z-scores, and the Rare Event Approach

The Empirical Rule, z-scores, and the Rare Event Approach Overview The Empirical Rule, z-scores, and the Rare Event Approach Look at Chebyshev s Rule and the Empirical Rule Explore some applications of the Empirical Rule How to calculate and use z-scores Introducing

More information

Topic 6.3 The normal Distribution

Topic 6.3 The normal Distribution Topic 6.3 The normal Distribution 1 The Normal Curve The graph of the normal distribution depends on two factors the mean and the standard deviation. The mean of the distribution determines the location

More information

An Analysis of College Algebra Exam Scores December 14, James D Jones Math Section 01

An Analysis of College Algebra Exam Scores December 14, James D Jones Math Section 01 An Analysis of College Algebra Exam s December, 000 James D Jones Math - Section 0 An Analysis of College Algebra Exam s Introduction Students often complain about a test being too difficult. Are there

More information

MAE Probability and Statistical Methods for Engineers - Spring 2016 Final Exam, June 8

MAE Probability and Statistical Methods for Engineers - Spring 2016 Final Exam, June 8 MAE 18 - Probability and Statistical Methods for Engineers - Spring 16 Final Exam, June 8 Instructions (i) One (two-sided) cheat sheet, book tables, and a calculator with no communication capabilities

More information

Econ 325: Introduction to Empirical Economics

Econ 325: Introduction to Empirical Economics Econ 325: Introduction to Empirical Economics Chapter 9 Hypothesis Testing: Single Population Ch. 9-1 9.1 What is a Hypothesis? A hypothesis is a claim (assumption) about a population parameter: population

More information

INTERVAL ESTIMATION AND HYPOTHESES TESTING

INTERVAL ESTIMATION AND HYPOTHESES TESTING INTERVAL ESTIMATION AND HYPOTHESES TESTING 1. IDEA An interval rather than a point estimate is often of interest. Confidence intervals are thus important in empirical work. To construct interval estimates,

More information

Class 24. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700

Class 24. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700 Class 4 Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science Copyright 013 by D.B. Rowe 1 Agenda: Recap Chapter 9. and 9.3 Lecture Chapter 10.1-10.3 Review Exam 6 Problem Solving

More information

PSY 305. Module 3. Page Title. Introduction to Hypothesis Testing Z-tests. Five steps in hypothesis testing

PSY 305. Module 3. Page Title. Introduction to Hypothesis Testing Z-tests. Five steps in hypothesis testing Page Title PSY 305 Module 3 Introduction to Hypothesis Testing Z-tests Five steps in hypothesis testing State the research and null hypothesis Determine characteristics of comparison distribution Five

More information

6.4 Type I and Type II Errors

6.4 Type I and Type II Errors 6.4 Type I and Type II Errors Ulrich Hoensch Friday, March 22, 2013 Null and Alternative Hypothesis Neyman-Pearson Approach to Statistical Inference: A statistical test (also known as a hypothesis test)

More information

ME3620. Theory of Engineering Experimentation. Spring Chapter IV. Decision Making for a Single Sample. Chapter IV

ME3620. Theory of Engineering Experimentation. Spring Chapter IV. Decision Making for a Single Sample. Chapter IV Theory of Engineering Experimentation Chapter IV. Decision Making for a Single Sample Chapter IV 1 4 1 Statistical Inference The field of statistical inference consists of those methods used to make decisions

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

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

Sampling Distributions: Central Limit Theorem

Sampling Distributions: Central Limit Theorem Review for Exam 2 Sampling Distributions: Central Limit Theorem Conceptually, we can break up the theorem into three parts: 1. The mean (µ M ) of a population of sample means (M) is equal to the mean (µ)

More information

16.400/453J Human Factors Engineering. Design of Experiments II

16.400/453J Human Factors Engineering. Design of Experiments II J Human Factors Engineering Design of Experiments II Review Experiment Design and Descriptive Statistics Research question, independent and dependent variables, histograms, box plots, etc. Inferential

More information

Chapter 6. Estimates and Sample Sizes

Chapter 6. Estimates and Sample Sizes Chapter 6 Estimates and Sample Sizes Lesson 6-1/6-, Part 1 Estimating a Population Proportion This chapter begins the beginning of inferential statistics. There are two major applications of inferential

More information

WISE MA/PhD Programs Econometrics Instructor: Brett Graham Spring Semester, Academic Year Exam Version: A

WISE MA/PhD Programs Econometrics Instructor: Brett Graham Spring Semester, Academic Year Exam Version: A WISE MA/PhD Programs Econometrics Instructor: Brett Graham Spring Semester, 2016-17 Academic Year Exam Version: A INSTRUCTIONS TO STUDENTS 1 The time allowed for this examination paper is 2 hours. 2 This

More information

ANOVA - analysis of variance - used to compare the means of several populations.

ANOVA - analysis of variance - used to compare the means of several populations. 12.1 One-Way Analysis of Variance ANOVA - analysis of variance - used to compare the means of several populations. Assumptions for One-Way ANOVA: 1. Independent samples are taken using a randomized design.

More information

Tests about a population mean

Tests about a population mean October 2 nd, 2017 Overview Week 1 Week 2 Week 4 Week 7 Week 10 Week 12 Chapter 1: Descriptive statistics Chapter 6: Statistics and Sampling Distributions Chapter 7: Point Estimation Chapter 8: Confidence

More information

Stat 231 Exam 2 Fall 2013

Stat 231 Exam 2 Fall 2013 Stat 231 Exam 2 Fall 2013 I have neither given nor received unauthorized assistance on this exam. Name Signed Date Name Printed 1 1. Some IE 361 students worked with a manufacturer on quantifying the capability

More information

280 CHAPTER 9 TESTS OF HYPOTHESES FOR A SINGLE SAMPLE Tests of Statistical Hypotheses

280 CHAPTER 9 TESTS OF HYPOTHESES FOR A SINGLE SAMPLE Tests of Statistical Hypotheses 280 CHAPTER 9 TESTS OF HYPOTHESES FOR A SINGLE SAMPLE 9-1.2 Tests of Statistical Hypotheses To illustrate the general concepts, consider the propellant burning rate problem introduced earlier. The null

More information

Review. December 4 th, Review

Review. December 4 th, Review December 4 th, 2017 Att. Final exam: Course evaluation Friday, 12/14/2018, 10:30am 12:30pm Gore Hall 115 Overview Week 2 Week 4 Week 7 Week 10 Week 12 Chapter 6: Statistics and Sampling Distributions Chapter

More information

Chapter 7 Comparison of two independent samples

Chapter 7 Comparison of two independent samples Chapter 7 Comparison of two independent samples 7.1 Introduction Population 1 µ σ 1 1 N 1 Sample 1 y s 1 1 n 1 Population µ σ N Sample y s n 1, : population means 1, : population standard deviations N

More information

hp calculators HP 20b Probability Distributions The HP 20b probability distributions Practice solving problems involving probability distributions

hp calculators HP 20b Probability Distributions The HP 20b probability distributions Practice solving problems involving probability distributions HP 20b Probability Distributions The HP 20b probability distributions Practice solving problems involving probability distributions The HP 20b probability distributions The HP 20b contains functions to

More information

Chapter 9. Inferences from Two Samples. Objective. Notation. Section 9.2. Definition. Notation. q = 1 p. Inferences About Two Proportions

Chapter 9. Inferences from Two Samples. Objective. Notation. Section 9.2. Definition. Notation. q = 1 p. Inferences About Two Proportions Chapter 9 Inferences from Two Samples 9. Inferences About Two Proportions 9.3 Inferences About Two s (Independent) 9.4 Inferences About Two s (Matched Pairs) 9.5 Comparing Variation in Two Samples Objective

More information

T.I.H.E. IT 233 Statistics and Probability: Sem. 1: 2013 ESTIMATION AND HYPOTHESIS TESTING OF TWO POPULATIONS

T.I.H.E. IT 233 Statistics and Probability: Sem. 1: 2013 ESTIMATION AND HYPOTHESIS TESTING OF TWO POPULATIONS ESTIMATION AND HYPOTHESIS TESTING OF TWO POPULATIONS In our work on hypothesis testing, we used the value of a sample statistic to challenge an accepted value of a population parameter. We focused only

More information

Confidence intervals and Hypothesis testing

Confidence intervals and Hypothesis testing Confidence intervals and Hypothesis testing Confidence intervals offer a convenient way of testing hypothesis (all three forms). Procedure 1. Identify the parameter of interest.. Specify the significance

More information

Chapter 10. Correlation and Regression. McGraw-Hill, Bluman, 7th ed., Chapter 10 1

Chapter 10. Correlation and Regression. McGraw-Hill, Bluman, 7th ed., Chapter 10 1 Chapter 10 Correlation and Regression McGraw-Hill, Bluman, 7th ed., Chapter 10 1 Example 10-2: Absences/Final Grades Please enter the data below in L1 and L2. The data appears on page 537 of your textbook.

More information