
Introduction to Business Statistics
7th Edition
ISBN: 9781111792374
Author: WEIERS
Publisher: Cengage Learning
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Chapter 5.5, Problem 5.34E
A fair coin is tossed three times. What is the
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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 5 Solutions
Introduction to Business Statistics
Ch. 5.2 - The president of a computer manufacturing firm...Ch. 5.2 - Prob. 5.2ECh. 5.2 - Prob. 5.3ECh. 5.2 - Prob. 5.4ECh. 5.2 - Regarding Exercise 5.4, how might an observer...Ch. 5.2 - Prob. 5.6ECh. 5.2 - Prob. 5.7ECh. 5.2 - Prob. 5.8ECh. 5.2 - If the odds are 4:7 that an event will occur, what...Ch. 5.3 - A sample space includes the events A. B. and C....
Ch. 5.3 - A sample space includes the events A, B, and C....Ch. 5.3 - The following contingency table of frequencies is...Ch. 5.3 - Using the table in Exercise 5.12, how many victims...Ch. 5.3 - Using the table in Exercise 5.12, what is the...Ch. 5.3 - Prob. 5.15ECh. 5.3 - Using the table in Exercise 5.15, assume that one...Ch. 5.3 - The owner of a McDonald’s restaurant in France is...Ch. 5.3 - Prob. 5.18ECh. 5.3 - According to data from the U.S. Energy Information...Ch. 5.3 - There are 100 males and 120 females in the...Ch. 5.4 - A financial advisor frequently holds investment...Ch. 5.4 - A survey of employees at a large company found the...Ch. 5.4 - In 2008, McDonald’s had 31,967 restaurants...Ch. 5.4 - For three mutually exclusive events...Ch. 5.4 - It has been reported that the 49,600 employees of...Ch. 5.4 - In 2003, Intergy Corporation had 2,631,752...Ch. 5.4 - According to the Bureau of Labor Statistics, there...Ch. 5.4 - Using the information presented in the table in...Ch. 5.4 - Using the infomation presented in the table in...Ch. 5.5 - What is the difference between a marginal...Ch. 5.5 - Prob. 5.31ECh. 5.5 - Prob. 5.32ECh. 5.5 - It has been reported that 57% of U.S. households...Ch. 5.5 - A fair coin is tossed three times. What is the...Ch. 5.5 - A kitchen appliance has 16 working parts, each of...Ch. 5.5 - An optometry practitioner group has found that...Ch. 5.5 - Through April 30 of the 2009 filing season, 15.8%...Ch. 5.5 - Of employed U.S. adults age 25 or older, 90.4%...Ch. 5.5 - A taxi company in a small town has two cabs. Cab A...Ch. 5.5 - Using the table in Exercise 5.12, calculate the...Ch. 5.5 - Charlie has read a survey result that says 60% of...Ch. 5.5 - Prob. 5.42ECh. 5.5 - Based on the information in Exercise 5.21, if the...Ch. 5.5 - Based on the information in Exercise 5.22, if a...Ch. 5.6 - For U.S. live births, P(boy) and P(girl) are...Ch. 5.6 - Using the information in Exercise 5.45, assume...Ch. 5.6 - A magician has two coins: One is unbalanced and...Ch. 5.6 - For the information provided in Exercise 5.39, the...Ch. 5.6 - Machine A produce 3% defectives, machine B produce...Ch. 5.7 - A tax accountant has three choices for the method...Ch. 5.7 - A committee consists of eight members, each of...Ch. 5.7 - Ten prominent citizens have been nominated for a...Ch. 5.7 - Prob. 5.53ECh. 5.7 - A state’s license plate has 6 positions, each of...Ch. 5.7 - When we are considering n objects taken r at a...Ch. 5.7 - An investment counselor would like to meet with 12...Ch. 5.7 - Flow many different combinations are possible if 6...Ch. 5.7 - A roadside museum has 25 exhibits but enough space...Ch. 5.7 - A sales representative has 35 customers throughout...Ch. 5 - It has been estimated that the odds of being...Ch. 5 - A fast-food chain gives each customer a coupon,...Ch. 5 - For the situation in Exercise 5.61, what is the...Ch. 5 - The “daily number” of a state lottery is a 3-digit...Ch. 5 - The U.S. Bureau of Justice released the following...Ch. 5 - For the three perpetrators in Exercise 5.64,...Ch. 5 - Dave has been arrested for arson and has been...Ch. 5 - A firm has two computer systems available for...Ch. 5 - An industrial hoist is being used in an emergency...Ch. 5 - The following relative frequency distribution...Ch. 5 - Collecting data on traffic accident fatalities,...Ch. 5 - During fiscal 1995, Ashland Exploration drilled 7...Ch. 5 - Avis, Inc., has reported that its fleet consists...Ch. 5 - Data from the Federal Bureau of Investigation show...Ch. 5 - Of the participants in a corporate meeting. 20%...Ch. 5 - Of the adults in Jefferson Count, 10% have had CPR...Ch. 5 - Over the years, a realtor estimates that 50% of...Ch. 5 - Prob. 5.77CECh. 5 - Prob. 5.78CECh. 5 - When a machine is properly calibrated, 0.5% of its...Ch. 5 - In examining borrower characteristics versus loan...Ch. 5 - Prob. 5.81CECh. 5 - A corporate board of directors consisting of 15...Ch. 5 - Prob. 5.83CECh. 5 - A test to compare the taste of 6 soft drinks is...Ch. 5 - A certain brand of bicycle lock requires that each...
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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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