Given an experiment with H0 : μ = 35, Ha : μ < 35, and a possible correct value of 32, you obtain a sample statistic of x̄ = 33. After doing analysis, you realize that the sample size n is actually larger than you first thought. Which of the following results from reworking with the increase in sample size? a. Decrease in probability of a Type I error; increase in probability of a Type II error; increase in power b. Increase in probability of a Type I error; decrease in probability of a Type II error; decrease in power c. Increase in probability of a Type I error; increase in probability of a Type II error; decrease in power d. Decrease in probability of a Type I error; decrease in probability of a Type II error; decrease in power e. Decrease in probability of a Type I error; decrease in probability of a Type II error; increase in power 2. Suppose you reject a null hypothesis at the 5% level of significance. What can you say about significance at the 1% level? a. H0 can be represented at 1% level of significance. b. The information given is not enough to make a conclusion. c. There is insufficient evidence to reject H0 at the 1% significance level. d. H0 can be rejected at the 1% significance level e. There is sufficient evidence to accept H0 at the 1% significance level.
1. Given an experiment with H0 : μ = 35, Ha : μ < 35, and a possible correct value of 32, you obtain a sample statistic of x̄ = 33. After doing analysis, you realize that the
a. Decrease in
b. Increase in probability of a Type I error; decrease in probability of a Type II error; decrease in power
c. Increase in probability of a Type I error; increase in probability of a Type II error; decrease in power
d. Decrease in probability of a Type I error; decrease in probability of a Type II error; decrease in power
e. Decrease in probability of a Type I error; decrease in probability of a Type II error; increase in power
2. Suppose you reject a null hypothesis at the 5% level of significance. What can you say about significance at the 1% level?
a. H0 can be represented at 1% level of significance.
b. The information given is not enough to make a conclusion.
c. There is insufficient evidence to reject H0 at the 1% significance level.
d. H0 can be rejected at the 1% significance level
e. There is sufficient evidence to accept H0 at the 1% significance level.
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