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In: Statistics and Probability

To test H0: p = 0.65 versus H1: p> 0.65, a simple random sample of n...

To test H0: p = 0.65 versus H1: p> 0.65, a simple random sample of n = 100 individuals is obtained and x = 69 successes are observed.

(a) What does it mean to make a Type II error for this test?
(b) If the researcher decides to test this hypothesis at the alpha = 0.01 level of significance, compute the probability of making a Type II error if the true population proportion is 0.70. What is the power of the test?
(c) Redo part (b) if the true population proportion is 0.72.

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orchestra answered 1 year ago
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