Pearson eText Introductory Statistics: Exploring the World Through Data -- Instant Access (Pearson+)
3rd Edition
ISBN: 9780136880882
Author: Robert Gould, Rebecca Wong
Publisher: PEARSON+
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Textbook Question
Chapter 8, Problem 88CRE
Student Loans According to a 2016 report from the Institute for College Access and Success
a. Test the hypothesis that the percentage of graduates with student loans from this college is different from the national percentage. Use a significance level of
b. After conducting the hypothesis test, a further question one might ask is what proportion of graduates from this college have student loans? Use the sample data to find a
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3. Bayesian Inference – Updating Beliefs
A medical test for a rare disease has the following characteristics:
Sensitivity (true positive rate): 99%
Specificity (true negative rate): 98%
The disease occurs in 0.5% of the population.
A patient receives a positive test result.
Questions:
a) Define the relevant events and use Bayes’ Theorem to compute the probability that the patient actually has the disease.b) Explain why the result might seem counterintuitive, despite the high sensitivity and specificity.c) Discuss how prior probabilities influence posterior beliefs in Bayesian inference.d) Suppose a second, independent test with the same accuracy is conducted and is also positive. Update the probability that the patient has the disease.
4. Linear Regression - Model Assumptions and Interpretation
A real estate analyst is studying how house prices (Y) are related to house size in square feet (X). A simple
linear regression model is proposed:
The analyst fits the model and obtains:
•
Ŷ50,000+150X
YBoB₁X + €
•
R² = 0.76
• Residuals show a fan-shaped pattern when plotted against fitted values.
Questions:
a) Interpret the slope coefficient in context.
b) Explain what the R² value tells us about the model's performance.
c) Based on the residual pattern, what regression assumption is likely violated? What might be the
consequence?
d) Suggest at least two remedies to improve the model, based on the residual analysis.
5. Probability Distributions – Continuous Random Variables
A factory machine produces metal rods whose lengths (in cm) follow a continuous uniform distribution on the interval [98, 102].
Questions:
a) Define the probability density function (PDF) of the rod length.b) Calculate the probability that a randomly selected rod is shorter than 99 cm.c) Determine the expected value and variance of rod lengths.d) If a sample of 25 rods is selected, what is the probability that their average length is between 99.5 cm and 100.5 cm? Justify your answer using the appropriate distribution.
Chapter 8 Solutions
Pearson eText Introductory Statistics: Exploring the World Through Data -- Instant Access (Pearson+)
Ch. 8 - Choose one of the answers given. The null...Ch. 8 - Choose one of the answers in each case. In...Ch. 8 - Vegetarians (Example 1) In 2016 a Harris poll...Ch. 8 - Embedded Tutors A college chemistry instructor...Ch. 8 - Teen Drivers According to a 2015 University of...Ch. 8 - Water A friend is tested to see whether he can...Ch. 8 - Prob. 7SECh. 8 - Law School Grad Employment The National...Ch. 8 - Soda Orders (Example 2) A manager at a casual...Ch. 8 - Mixed Nuts The label on a can of mixed nuts says...
Ch. 8 - Flu Vaccine (Example 3) An immunologist is testing...Ch. 8 - Law School Grad Employment An economist is testing...Ch. 8 - Prob. 13SECh. 8 - Hybrid Car Sales According to Green Car Reports,...Ch. 8 - Vegetarians (Example 4) In 2016 the Harris poll...Ch. 8 - Embedded Tutors A college chemistry instructor...Ch. 8 - Coke versus Pepsi (Example 5) Suppose you are...Ch. 8 - St. Louis Jury Pool St. Louis County is 24 African...Ch. 8 - Vegetarians (Example 6) In problem 8.15 the...Ch. 8 - Embedded Tutors In problem 8.16, a college...Ch. 8 - Hospital Readmission A hospital readmission is an...Ch. 8 - Guessing A 20-question multiple choice quiz has...Ch. 8 - Dreaming (Example 7) A 2003 study of dreaming...Ch. 8 - Age Discrimination About 30 of the population in...Ch. 8 - Self-Driving Cars (Example 8) In a Northeastern...Ch. 8 - Diabetes According to a Gallup poll, 11.55 of...Ch. 8 - Coke versus Pepsi A taste test is done to see...Ch. 8 - Seat Belts Suppose we are testing people to see...Ch. 8 - Working Out (Example 9) According to a 2018 survey...Ch. 8 - Vacations According to a 2017 AAA survey, 35 of...Ch. 8 - Working Out (Example 10) According to a 2018...Ch. 8 - Vacations According to a 2017 AAA survey, 35 of...Ch. 8 - p-Values For each graph, indicate whether the...Ch. 8 - p-Values For each graph, state whether the shaded...Ch. 8 - News on Facebook A 2018 Gallup poll of 3635...Ch. 8 - Olympic Viewing A 2018 Gallup poll of 2228...Ch. 8 - Global Warming Historically (from about 2001 to...Ch. 8 - Plane Crashes According to one source, 50 of plane...Ch. 8 - Mercury in Freshwater Fish Some experts believe...Ch. 8 - Twitter Suppose a poll is taken that shows 220 out...Ch. 8 - Morse’s Proportion of ts Samuel Morse determined...Ch. 8 - Morse’s Proportion of as Samuel Morse determined...Ch. 8 - p-Values (Example 11) A researcher carried out a...Ch. 8 - Coin Flips A test is conducted in which a coin is...Ch. 8 - Young Voters (Example 12) According to the...Ch. 8 - Errors with Toast Suppose you are testing someone...Ch. 8 - Blackstone on Errors in Trials Sir William...Ch. 8 - Alpha By establishing a small value for the...Ch. 8 - Superpower (Example 13) What superpower do...Ch. 8 - Flaws The null hypothesis on true/false tests is...Ch. 8 - Which Method? A proponent of a new proposition on...Ch. 8 - Which Method? A proponent of a new proposition on...Ch. 8 - Effectiveness of Financial Incentives A...Ch. 8 - Is it acceptable practice to look at your research...Ch. 8 - If we reject the null hypothesis, can we claim to...Ch. 8 - If we do not reject the null hypothesis, is it...Ch. 8 - When a person stands trial for murder, the jury is...Ch. 8 - When, in a criminal court, a defendant is found...Ch. 8 - Arthritis A magazine advertisement claims that...Ch. 8 - No-Carb Diet A weight-loss diet claims that it...Ch. 8 - When comparing two sample proportions with a...Ch. 8 - When comparing two sample proportions with a...Ch. 8 - Treatment for HIV-1 In a 2018 study reported in...Ch. 8 - Smoking Cessation in HIV Patients In a 2018 study...Ch. 8 - Reading (Example 14) The researchers in a Pew...Ch. 8 - Audio Books Pew Research published survey results...Ch. 8 - Freedom of the Press A Gallup poll asked college...Ch. 8 - Freedom of Religion A Gallup poll asked college...Ch. 8 - Environmental Quality (Example 15) A Gallup poll...Ch. 8 - Caregiving Responsibilities In 2017 the Pew...Ch. 8 - Prob. 71CRECh. 8 - Choosing a Test and Naming the Population(s) For...Ch. 8 - Choosing a Test and Giving the Hypotheses Give the...Ch. 8 - Choosing a Test and Naming the Population(s) In...Ch. 8 - Water Taste Test A student who claims that he can...Ch. 8 - Butter Taste Test A student is tested to determine...Ch. 8 - Biased Coin? A study is done to see whether a coin...Ch. 8 - Biased Coin? A study is done to see whether a coin...Ch. 8 - ESP A researcher studying extrasensory perception...Ch. 8 - Coin Flips Suppose you tested 50 coins by flipping...Ch. 8 - Student Age A community college used enrollment...Ch. 8 - Taste Test A student was tested to see if he could...Ch. 8 - Facebook Pew Research conducts polls on social...Ch. 8 - Television In the Pew Research social media...Ch. 8 - Presidential Election Pew Research reported that...Ch. 8 - Educational Attainment According to a 2016 report...Ch. 8 - Self-Employment According to the Bureau of Labor...Ch. 8 - Student Loans According to a 2016 report from the...Ch. 8 - Gun Control A Quinnipiac poll conducted on...Ch. 8 - Gay Marriage A Gallup poll conducted in 2017 found...Ch. 8 - Three-Strikes Law California’s controversial...Ch. 8 - Prob. 92CRECh. 8 - Prob. 93CRECh. 8 - Cloning Dolly the Sheep, the world’s first mammal...Ch. 8 - A friend claims he can predict the suit of a card...Ch. 8 - A friend claims he can predict how a six-sided die...Ch. 8 - Votes for Independents Judging on the basis of...Ch. 8 - Votes for Independents Refer to Exercise 8.97....Ch. 8 - Texting While Driving The mother of a teenager has...Ch. 8 - True/False Test A teacher giving a true/false test...Ch. 8 - ESP Suppose a friend says he can predict whether a...Ch. 8 - ESP Again Suppose a friend says he can predict...Ch. 8 - Does Hand Washing Save Lives? In the mid-1800s,...Ch. 8 - Opioid Crisis Suppose you wanted to test the claim...Ch. 8 - Guessing on a True/False Test A true/false test...Ch. 8 - Guessing on a Multiple-Choice Test A...
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- 2. Hypothesis Testing - Two Sample Means A nutritionist is investigating the effect of two different diet programs, A and B, on weight loss. Two independent samples of adults were randomly assigned to each diet for 12 weeks. The weight losses (in kg) are normally distributed. Sample A: n = 35, 4.8, s = 1.2 Sample B: n=40, 4.3, 8 = 1.0 Questions: a) State the null and alternative hypotheses to test whether there is a significant difference in mean weight loss between the two diet programs. b) Perform a hypothesis test at the 5% significance level and interpret the result. c) Compute a 95% confidence interval for the difference in means and interpret it. d) Discuss assumptions of this test and explain how violations of these assumptions could impact the results.arrow_forward1. Sampling Distribution and the Central Limit Theorem A company produces batteries with a mean lifetime of 300 hours and a standard deviation of 50 hours. The lifetimes are not normally distributed—they are right-skewed due to some batteries lasting unusually long. Suppose a quality control analyst selects a random sample of 64 batteries from a large production batch. Questions: a) Explain whether the distribution of sample means will be approximately normal. Justify your answer using the Central Limit Theorem. b) Compute the mean and standard deviation of the sampling distribution of the sample mean. c) What is the probability that the sample mean lifetime of the 64 batteries exceeds 310 hours? d) Discuss how the sample size affects the shape and variability of the sampling distribution.arrow_forwardA biologist is investigating the effect of potential plant hormones by treating 20 stem segments. At the end of the observation period he computes the following length averages: Compound X = 1.18 Compound Y = 1.17 Based on these mean values he concludes that there are no treatment differences. 1) Are you satisfied with his conclusion? Why or why not? 2) If he asked you for help in analyzing these data, what statistical method would you suggest that he use to come to a meaningful conclusion about his data and why? 3) Are there any other questions you would ask him regarding his experiment, data collection, and analysis methods?arrow_forward
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