Chapter 7: Problem 19
Assume your class has 30 students and you want a random sample of 10 of them. Describe how to randomly select 10 people from your class using the random number table.
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Chapter 7: Problem 19
Assume your class has 30 students and you want a random sample of 10 of them. Describe how to randomly select 10 people from your class using the random number table.
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Two symbols are used for the standard deviation: \(\sigma\) and s. a. Which represents a parameter, and which represents a statistic? b. To estimate the commute time for all students at a college, 100 students are asked to report their commute times in minutes. The standard deviation for these 100 commute times was \(13.9\) minutes. Is this standard deviation \(\sigma\) or s?
A poll on a proposition showed that we are \(99 \%\) confident that the population proportion of voters supporting it is between \(52 \%\) and \(62 \%\). Find the margin of error.
To determine if patrons are satisfied with performance quality, a theater surveys patrons at an evening performance by placing a paper survey inside their programs. All patrons receive a program as they enter the theater. Completed surveys are placed in boxes at the theater exits. On the evening of the survey, 500 patrons saw the performance. One hundred surveys were completed, and \(70 \%\) of these surveys indicated dissatisfaction with the performance. Should the theater conclude that patrons were dissatisfied with performance quality? Explain.
A Harris poll asked Americans in 2016 and 2017 if they were happy. In \(2016,31 \%\) reported being happy and in 2017 , \(33 \%\) reported being happy. Assume the sample size for each poll was 1000 . A \(95 \%\) confidence interval for the difference in these proportions \(p_{1}-p_{2}\) (where proportion 1 is proportion happy in 2016 and proportion 2 is the proportion happy in 2017) is \((-0.06,0.02)\). Interpret this confidence interval. Does the interval contain \(0 ?\) What does this tell us about happiness among American in 2016 and \(2017 ?\)
Suppose that, when taking a random sample of three students' GPAs, you get a sample mean of \(3.90 .\) This sample mean is far higher than the collegewide (population) mean. Does that prove that your sample is biased? Explain. What else could have caused this high mean?
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