Chapter 9: Problem 510
In a family of 4 children, what is the probability that there will be exactly two boys?
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Chapter 9: Problem 510
In a family of 4 children, what is the probability that there will be exactly two boys?
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In the Idaho State Home for Runaway Girls, 25 residents were polled as to what age they ran away from home. The sample mean was 16 years old with a standard deviation of \(1.8\) years. Establish a \(95 \%\) confidence interval for \(\mu\), the mean age at which runaway girls leave home in Idaho.
Suppose we have a binomial distribution for which \(\mathrm{H}_{0}\) is \(\mathrm{p}=1 / 2\) where \(\mathrm{p}\) is the probability of success on a single trial. Suppose the type I error, \(\alpha=.05\) and \(\mathrm{n}=100 .\) Calculate the power of this test for each of the following alternate hypotheses, \(\mathrm{H}_{1}: \mathrm{p}=.55, \mathrm{p}=.60, \mathrm{p}=.65, \mathrm{p}=.70\), and \(\mathrm{p}=.75 .\) Do the same when \(\alpha=.01\).
Let \(X\) be the random variable defined as the number of dots observed on the upturned face of a fair die after a single toss. Find the expected value of \(\mathrm{X}\).
Harvey of Brooklyn surveyed a random sample of 625 students at SUNY-Stony Brook. Being a pre-medical student, he hoped that most students would major in the social sciences rather than the natural sciences, thus provide him with less competition. To Harvey's dismay, \(60 \%\) of the students he surveyed were majoring in the natural sciences. Construct a \(95 \%\) confidence interval for \(p\), the population proportion of students majoring in the natural sciences.
Suppose \(\mathrm{X}_{1}, \ldots, \mathrm{X}_{\mathrm{n}}\) are independent Bernoulli random variables, that is, \(\operatorname{Pr}\left(\mathrm{X}_{1}=0\right)=1-\mathrm{p}\) and \(\operatorname{Pr}\left(\mathrm{X}_{1}=1\right)=\mathrm{p}\) for \(\mathrm{i}=1, \ldots, \mathrm{n}\). What is the distribution of \(\mathrm{Y}={ }^{n} \sum_{\mathrm{i}=1} \mathrm{X}_{\mathrm{i}}\) ?
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