Statistical Reasoning for Everyday Life (5th Edition)

5th Edition

ISBN: 9780134494043

Author: Jeff Bennett, William L. Briggs, Mario F. Triola

Publisher: PEARSON

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Concept explainers

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of tw…

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency o…

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow compar…

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Textbook Question

Chapter 10, Problem 3CRE

In Exercises 1–3, use the following service times (in seconds) observed at lunchtime at different fast-food restaurant drive-up windows. Assume that the service times for such restaurants are normally distributed.

3. Restaurant Service Times. Using the samples of service times from all three restaurants, we obtain the analysis of variance results shown in Figure 10.7. Use a 0.05 significance level to test the claim that the three restaurants have the same mean service time.

Chapter 10, Problem 3CRE, In Exercises 13, use the following service times (in seconds) observed at lunchtime at different

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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Chapter 10, Problem 2CRE

Chapter 10, Problem 4CRE

Chapter 10 Solutions

Statistical Reasoning for Everyday Life (5th Edition)

Ch. 10.1 - t Distribution. What is the t distribution? What...Ch. 10.1 - Degrees of Freedom. How do you determine the...Ch. 10.1 - Prob. 3E Ch. 10.1 - Hypothesis Test. Briefly summarize the procedure...Ch. 10.1 - Does It Make Sense? For Exercises 58, determine...Ch. 10.1 - Prob. 6E Ch. 10.1 - Prob. 7E Ch. 10.1 - Prob. 8E Ch. 10.1 - Confidence Intervals. In Exercises 918, use the t...Ch. 10.1 - Confidence Intervals. In Exercises 918, use the t...

Ch. 10.1 - Elbow-to-Fingertip Length of Men. A simple random...Ch. 10.1 - Earthquake Epicenter Depths. A simple random...Ch. 10.1 - Hospital Costs with Seat Belts. A study was...Ch. 10.1 - Prob. 14E Ch. 10.1 - Estimating Car Pollution. Each car in a sample of...Ch. 10.1 - Movie Lengths. Listed below are lengths (in...Ch. 10.1 - Prob. 17E Ch. 10.1 - Prob. 18E Ch. 10.1 - Hypothesis Tests. In Exercises 1928, test the...Ch. 10.1 - Prob. 20E Ch. 10.1 - Hypothesis Tests. In Exercises 1928, test the...Ch. 10.1 - Prob. 22E Ch. 10.1 - Hypothesis Tests. In Exercises 1928, test the...Ch. 10.1 - Hypothesis Tests. In Exercises 1928, test the...Ch. 10.1 - Prob. 25E Ch. 10.1 - Prob. 26E Ch. 10.1 - Prob. 27E Ch. 10.1 - Prob. 28E Ch. 10.2 - Two-Way Tables. What is a two-way table? What are...Ch. 10.2 - Hypotheses. When working with two variables in a...Ch. 10.2 - Prob. 3E Ch. 10.2 - Prob. 4E Ch. 10.2 - Does It Make Sense? For Exercises 58, determine...Ch. 10.2 - Does It Make Sense? For Exercises 58, determine...Ch. 10.2 - Does It Make Sense? For Exercises 58, determine...Ch. 10.2 - Does It Make Sense? For Exercises 58, determine...Ch. 10.2 - Prob. 9E Ch. 10.2 - Understanding a Two-Way Table Hypothesis Test....Ch. 10.2 - Survey Results. In Exercises 1114, assume that a...Ch. 10.2 - Survey Results. In Exercises 1114, assume that a...Ch. 10.2 - Survey Results. In Exercises 1114, assume that a...Ch. 10.2 - Survey Results. In Exercises 1114, assume that a...Ch. 10.2 - Prob. 15E Ch. 10.2 - Complete Hypothesis Test. In Exercises 1522, carry...Ch. 10.2 - Complete Hypothesis Test. In Exercises 1522, carry...Ch. 10.2 - Complete Hypothesis Test. In Exercises 1522, carry...Ch. 10.2 - Complete Hypothesis Test. In Exercises 1522, carry...Ch. 10.2 - Prob. 20E Ch. 10.2 - Prob. 21E Ch. 10.2 - Prob. 22E Ch. 10.3 - ANOVA. What does ANOVA stand for? What is the...Ch. 10.3 - Prob. 2E Ch. 10.3 - Variance in ANOVA. Describe and distinguish...Ch. 10.3 - Test Statistic F. What is the meaning of small and...Ch. 10.3 - Prob. 5E Ch. 10.3 - Prob. 6E Ch. 10.3 - Does It Make Sense? For Exercises 58, determine...Ch. 10.3 - Does It Make Sense? For Exercises 58, determine...Ch. 10.3 - Prob. 9E Ch. 10.3 - Comparing Colleges. A researcher obtains random...Ch. 10.3 - Readability of Authors. Samples of Flesch-Kincaid...Ch. 10.3 - Fabric Flammability Tests in Different...Ch. 10.3 - Prob. 13E Ch. 10.3 - Pulse Rates. A random sample of adult females is...Ch. 10.3 - Using Technology. In Exercises 1518, use software...Ch. 10.3 - Using Technology. In Exercises 1518, use software...Ch. 10.3 - Prob. 17E Ch. 10.3 - Using Technology. In Exercises 1518, use software...Ch. 10 - In Exercises 13, use the following service times...Ch. 10 - In Exercises 13, use the following service times...Ch. 10 - In Exercises 13, use the following service times...Ch. 10 - Prob. 4CRE Ch. 10 - Prob. 1CQ Ch. 10 - As part of the results from the test described in...Ch. 10 - For the hypothesis test described in Exercise 1,...Ch. 10 - A simple random sample of 25 blood platelet counts...Ch. 10 - Prob. 5CQ Ch. 10 - Prob. 6CQ Ch. 10 - Prob. 7CQ Ch. 10 - If the hypothesis test of the claim described in...Ch. 10 - A two-way table, constructed from survey results,...Ch. 10 - Prob. 10CQ

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Solution Summary: The author analyzes the probability of getting a value of the statistic as extreme as or more extreme than the observed statistic when the null hypothesis is true.

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Chapter 10 Solutions