Question

# 1. You have a two-tailed test. The t critical value is 2.36 and the test statistic...

1. You have a two-tailed test. The t critical value is 2.36 and the test statistic is 3.11. Assume the null hypothesis is true. The result is (a) Type I error (b) Type II error (c) Correct decision

2. You have a right-tailed test. The t critical value is 1.74 and the test statistic is 1.46. Assume the null hypothesis is true. The result is (a)Type I error (b) Type II error (c) Correct decision

3. You have a right-tailed test. The t critical value is 2.13 and the test statistic is 2.04. Assume the null hypothesis is false. The result is (a)Type I error (b) Type II error (c) Correct decision

4. You have a left-tailed test. The t critical value is -1.66 and the test statistic is -2.11. Assume the null hypothesis is false. The result is (a)Type I error (b) Type II error (c) Correct decision

5. You have a hypothesis test. The p-value is 0.038 and the significance level is 0.04. Assume the null hypothesis is false. The result is (a)Type I error (b) Type II error (c) Correct decision

1. a) type 1 error

Calculated test statistic value is greater than critical value , reject null hypothesis

Type 1 error is rejecting a true hypothesis.

2. c) correct decision

Calculated test statistic  value is less than critical value. Accept null hypothesis

Correct decision is accept null hypothesis when it is true.

3. b) Type 2 error

Calculated test statistic  value is less than critical value. Accept null hypothesis.

Type 2 error is when null hypothesis is false and we accept null hypothesis

4. b)Type 2 error

Calculated test statistic  value is less than critical value. Accept null hypothesis

Type 2 error is accept null hypothesis when null hypothesis is false

5. c) Correct decision

P value is less than significance level. Reject null hypothesis

Reject null hypothesis when it is false

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