To test Hop 0.40 versus H: p ...

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To test Hop 0.40 versus H: p <0.40, a simple random sample of n 100 individuals is obtained and x=38 successes are observed (a) What does it mean to make a Type II error for this test? of the test? (b) If the researcher decides to test this hypothesis at the a=0.05 level of significance, compute the probability of making a Type I error, p, if the true population proportion is 0.38: What is the power (e) Redo part (b) if the true population proportion is 0.34. (a) What does it mean to make a Type I error for this test? Choose the correct answer below OA Ho is not rejected and the true population proportion is equal to 0.40 B. He is not rejected and the true population proportion is less than 0.40. OCH is rejected and the true population proportion is less than 0.40. OD. His rejected and the true population proportion is greater than 0.40 (b) if the researcher decides to test this hypothesis at the a-0.05 level of significance, compute the probability of making a Type I error, p., if the true population proportion is 0.38. What is the power of the test? Power (Type integers or decimals rounded to four decimal places as needed) To test Hop 0.40 versus H: p <0.40, a simple random sample of n 100 individuals is obtained and x=38 successes are observed (a) What does it mean to make a Type II error for this test? of the test? (b) If the researcher decides to test this hypothesis at the a=0.05 level of significance, compute the probability of making a Type I error, p, if the true population proportion is 0.38: What is the power (e) Redo part (b) if the true population proportion is 0.34. (a) What does it mean to make a Type I error for this test? Choose the correct answer below OA Ho is not rejected and the true population proportion is equal to 0.40 B. He is not rejected and the true population proportion is less than 0.40. OCH is rejected and the true population proportion is less than 0.40. OD. His rejected and the true population proportion is greater than 0.40 (b) if the researcher decides to test this hypothesis at the a-0.05 level of significance, compute the probability of making a Type I error, p., if the true population proportion is 0.38. What is the power of the test? Power (Type integers or decimals rounded to four decimal places as needed)