Chapter 11: Q.1.3 (page 698)
Make a bar graph that compares the two conditional distributions. What are the most important differences in Facebook use between the two campus settings?
Short Answer
The bar graph is,

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Chapter 11: Q.1.3 (page 698)
Make a bar graph that compares the two conditional distributions. What are the most important differences in Facebook use between the two campus settings?
The bar graph is,

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Inference recap In each of the following settings, say which inference procedure from Chapter you would use. Be specific. For example, you might say 鈥渢wo-sample z test for the difference between two proportions.鈥 You do not need to carry out any procedures.
(a) What is the average voter turnout during an election? A random sample of cities was asked to report the percent of registered voters who actually voted in the most recent election.
(b) Are blondes more likely to have a boyfriend than the rest of the single world? Independent random samples of blondes and nonblondes were asked whether they have a boyfriend.
A study conducted in Charlotte, North Carolina, tested the effectiveness of three police responses to spouse abuse: (1) advise and possibly separate the couple, (2) issue a citation to the offender, and (3) arrest the offender. Police officers were trained to recognize eligible cases. When presented with an eligible case, a police officer called the dispatcher, who would randomly assign one of the three available treatments to be administered. There were a total of 650 cases in the study. Each case was classified according to whether the abuser was subsequently arrested within six months of the original incident.

(a) Explain the purpose of the random assignment in the design of this study.
(b) Construct a well-labeled graph that is suitable for comparing the effectiveness of the three treatments.
(c) We want to use these data to perform a test ofwhere
the true proportion of spouse abusers like the ones in this study who would be arrested again within six months after receiving treatment \(i\). State an appropriate alternative hypothesis.
(d) Assume that all the conditions for performing the test in part (b) are met. The test yields and a P-value of Interpret this P-value in context. What conclusion should we draw from the study?
Which of the following may we conclude, based on the test results?
(a) There is strong evidence of an association between wiring configuration and the chance that a child will develop some form of cancer.
(b) HCC either cause cancer directly or is a major contributing factor to the development of cancer in children.
(c) Leukemia is the most common type of cancer among children.
(d) There is not much evidence of an association between wiring configuration and the type of cancer that caused the deaths of children in the study.
In the previous Check Your Understanding (page 698), we presented data on the use of Facebook by two randomly selected groups of Penn State students. Here are the data once again.

Do these data provide convincing evidence of a difference in the distributions of Facebook use among students in the two campus settings?
State appropriate null and alternative hypotheses for a significance test to help answer this question.
Sorry, no chi-square We would prefer to learn from teachers who know their subject. Perhaps even pre-school children are affected by how knowledgeable they think teachers are. Assign three- and four-year-olds at random to be taught the name of a new toy by either an adult who claims to know about the toy or an adult who claims not to know about it. Then ask the children to pick out a picture of the new toy in a set of pictures of other toys and say its name. The response variable is the count of right answers in four tries. Here are the data:

The researchers report that children taught by the teacher who claimed to be knowledgeable did significantly better . Explain why this result isn't valid.
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