Chapter 7: Problem 86
For a population, \(N=18,000\) and \(p=.25\). Find the \(z\) value for each of the following for \(n=70\). a. \(\hat{p}=.26\) b. \(\hat{p}=.32\) c. \(\hat{p}=.17\) d. \(\hat{p}=.20\)
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Chapter 7: Problem 86
For a population, \(N=18,000\) and \(p=.25\). Find the \(z\) value for each of the following for \(n=70\). a. \(\hat{p}=.26\) b. \(\hat{p}=.32\) c. \(\hat{p}=.17\) d. \(\hat{p}=.20\)
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For a population, \(N=30,000\) and \(p=.59 .\) Find the \(z\) value for each of the following for \(n=100\). a. \(\hat{p}=.56\) \(\begin{array}{lll}\text { b. } \hat{p}=.68 & \text { c. } \hat{p}=.53 & \text { d. } \hat{p}=.65\end{array}\)
A population has a normal distribution. A sample of size \(n\) is selected from this population. Describe the shape of the sampling distribution of the sample mean for each of the following cases. a. \(n=94\) b. \(n=11\)
What is the estimator of the population proportion? Is this estimator an unbiased estimator of \(p ?\) Explain why or why not.
Johnson Electronics Corporation makes electric tubes. It is known that the standard deviation of the lives of these tubes is 150 hours. The company's research department takes a sample of 100 such tubes and finds that the mean life of these tubes is 2250 hours. What is the probability that this sample mean is within 25 hours of the mean life of all tubes produced by this company?
For a population, \(N=205,000, \mu=66\), and \(\sigma=7\). Find the \(z\) value for each of the following for \(n=49\) a. \(\bar{x}=68.44\) b. \(\bar{x}=58.75 \quad\) c. \(\bar{x}=62.35 \quad\) d. \(\bar{x}=71.82\)
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