When we build a two-sided 100 times (1 - alpha)% confidence interval a. we calcu

Question

When we build a two-sided 100 times (1 - alpha)% confidence interval a. we calculate the value of alpha using the normal distribution b. we fix the value of alpha to some desired level c. we estimate the value of alpha from the data d. alpha is always the same and equal to 0.05 e. alpha is a random variable When we build a 90% and a 95% confidence interval using the same data and the same method, which of the following is true? a. The 90% confidence interval is wider than the 95% confidence interval b. The 90% confidence interval is narrower than the 95% confidence interval c. The widths of these two intervals are equal d. The widths of these two intervals are not comparable e. Which confidence interval is wider depends on the random data We take 10 independent samples of size 4 from the same normally distributed population with mean mu = 10 and known standard deviation sigma = 4. We build a 90% two-sided z confidence interval at level alpha = 0.05 using each sample. Which of the following is not a possible result to observe from these confidence intervals? a. 9 confidence intervals contain mu = 10 b. The width of some intervals are larger than others c. all 10 confidence intervals contain mu = 10 d. The width of the confidence interval is 0 for some intervals e. No confidence interval contains mu = 10 In a test of hypotheses for the mean mu, which of the following quantities depends directly on the distribution under the null hypothesis? a. Power of the test b. The critical value and the rejection region c. Type II error rate d. The true population mean e. Sample variance When testing for the population mean mu using an upper tail z-test which of the following is sufficient to determine the rejection region? a. z_alpha and alpha

Explanation / Answer

the following answers are by definition so no explanarion is possible

Q-8-Option-b

Q-9-option-b

Q-10-option-d

Q-11-option-b

Q-12-option-a

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