To test Upper H 0 : p equals 0.45 versus Upper H 1 : p greater than 0.45, a simple random sample of n equals 200 individuals is obtained and x equals 69 successes are observed.
(a) What does it mean to make a Type II error for thistest?
(b) If the researcher decides to test this hypothesis at the alpha equals 0.01 level of significance, compute the probability of making a Type II error, beta , if the true population proportion is 0.49. What is the power of the test?
(c) Redo part (b) if the true population proportion is 0.50.
Get Answers For Free
Most questions answered within 1 hours.