(a) Explanation Given info: One survey was done on hard water by region. The descriptive statistics for the north and south is given. Calculation: Hypothesis: Null hypothesis: H 0 : μ N − μ S = 0 That is, the mean mortality rate is same as North and South of Derby. Alternative hypothesis: H a : μ N − μ S ≠ 0 That is, the mean mortality rate from North and South of Derby. The assumption and conditions for using t test: (i) Independent assumption: The mortality rate in each side is independent. (ii) Independent group assumption: The groups are independent to each other. (iii) Nearly normal condition: From the boxplot and the large sample size it is reasonable to assume normality by CLT. Hence, all conditions are satisfied. Software procedure: Step by step procedure to obtain the test-statistic and P-valueusing the MINITAB software: Choose Stat > Basic Statistics > 2-Sample t . Choose Samples in different columns . In First , enter the column of North In Second , enter the column of South Choose Options (b) To determine Explain the effect of the outlier in the conclusion.

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Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative p…

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Chapter 17, Problem 72E

(a)

To determine

Test appropriate hypothesis and state the conclusion.

(b)

To determine

Explain the effect of the outlier in the conclusion.

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Chapter 17, Problem 71E

Chapter 17, Problem 73E

Chapter 17 Solutions

MyLab Statistics with Pearson eText -- Standalone Access Card -- for Intro Stats (5th Edition)

Ch. 17.2 - A public broadcasting station plans to launch a...Ch. 17.2 - Prob. 2JC Ch. 17.3 - Prob. 3JC Ch. 17.3 - Prob. 4JC Ch. 17.4 - Prob. 5JC Ch. 17.4 - Prob. 6JC Ch. 17.4 - Prob. 7JC Ch. 17.4 - Prob. 8JC Ch. 17.5 - Prob. 9JC Ch. 17.5 - Recall the experiment comparing patients 4 weeks...

Ch. 17.5 - Prob. 11JC Ch. 17 - Canada Suppose an advocacy organization surveys...Ch. 17 - Non-profits Do people who work for non-profit...Ch. 17 - Canada, deux The information in Exercise 1 was...Ch. 17 - Prob. 4E Ch. 17 - Prob. 5E Ch. 17 - Prob. 6E Ch. 17 - Prob. 7E Ch. 17 - Prob. 8E Ch. 17 - Prob. 9E Ch. 17 - Non-profits test Complete the analysis begun in...Ch. 17 - Prob. 11E Ch. 17 - Prob. 12E Ch. 17 - Prob. 13E Ch. 17 - Athlete ages, again Using the summary statistics...Ch. 17 - Prob. 15E Ch. 17 - Athlete ages, ninth inning The researchers in...Ch. 17 - Prob. 17E Ch. 17 - Athlete ages, overtime Repeat the test you did in...Ch. 17 - Prob. 19E Ch. 17 - Prob. 20E Ch. 17 - Prob. 21E Ch. 17 - Prob. 22E Ch. 17 - Prob. 23E Ch. 17 - Prob. 24E Ch. 17 - Prob. 25E Ch. 17 - Prob. 26E Ch. 17 - Prob. 27E Ch. 17 - Graduation The U.S. Department of Commerce...Ch. 17 - Prob. 29E Ch. 17 - Carpal tunnel The painful wrist condition called...Ch. 17 - Prob. 31E Ch. 17 - Prob. 32E Ch. 17 - Ear infections A new vaccine was recently tested...Ch. 17 - Anorexia The Journal of the American Medical...Ch. 17 - Prob. 35E Ch. 17 - Prob. 36E Ch. 17 - Teen smoking A Vermont study published by the...Ch. 17 - Depression A study published in the Archives of...Ch. 17 - Birthweight The Journal of the American Medical...Ch. 17 - Politics and sex One month before the election, a...Ch. 17 - Prob. 41E Ch. 17 - Prob. 42E Ch. 17 - Pain Researchers comparing the effectiveness of...Ch. 17 - Gender gap Candidates for political office realize...Ch. 17 - Prob. 45E Ch. 17 - Prob. 46E Ch. 17 - Sensitive men In the same article from Exercise...Ch. 17 - Carbs Recently, the Gallup Poll asked 1005 U.S....Ch. 17 - Food preference GfK Roper Consulting gathers...Ch. 17 - Prob. 50E Ch. 17 - Hot dogs In the July 2007 issue, Consumer Reports...Ch. 17 - Prob. 52E Ch. 17 - Prob. 53E Ch. 17 - Prob. 54E Ch. 17 - Hot dogs, last one In Exercise 53, we saw a 90%...Ch. 17 - Third load of wash In Exercise 54, we saw a 98%...Ch. 17 - Prob. 57E Ch. 17 - Prob. 58E Ch. 17 - Prob. 59E Ch. 17 - Prob. 60E Ch. 17 - Commuting A man who moves to a new city sees that...Ch. 17 - Pulse rates A researcher wanted to see whether...Ch. 17 - Prob. 63E Ch. 17 - New construction The house sales we looked at in...Ch. 17 - Cereal sugar The data below show the sugar content...Ch. 17 - Prob. 66E Ch. 17 - Prob. 67E Ch. 17 - Prob. 68E Ch. 17 - Cholesterol and gender Are men or women at higher...Ch. 17 - Prob. 70E Ch. 17 - Home runs 2016 American League baseball teams play...Ch. 17 - Prob. 72E Ch. 17 - Prob. 73E Ch. 17 - Prob. 74E Ch. 17 - Prob. 75E Ch. 17 - Ad campaign You are a consultant to the marketing...Ch. 17 - Prob. 77E Ch. 17 - Thirsty? Researchers randomly assigned...Ch. 17 - Prob. 79E Ch. 17 - Prob. 80E Ch. 17 - Tees Does it matter what kind of tee a golfer...Ch. 17 - Golf again Given the test results on golf tees...Ch. 17 - Music and memory Is it a good idea to listen to...Ch. 17 - Rap Using the results of the experiment described...Ch. 17 - Prob. 87E Ch. 17 - Prob. 88E

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Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?

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Test appropriate hypothesis and state the conclusion.

Solution Summary: The author explains how the t statistic and P-value are obtained using the MINITAB software.

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Test appropriate hypothesis and state the conclusion.

Explain the effect of the outlier in the conclusion.

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Chapter 17 Solutions