1- The level of significance indicates the probability of rejecting a true null hypothesis.

A- True B- False

2- You can make a Type I error when the null hypothesis is correct.

A- True B- False

3-The power of a statistical test is the probability of rejecting a false null hypothesis.

A- True B- False

4-In a hypothesis test about Mean, increasing the level of significance from 0.05 to 0.10 will raise the chance of a Type II error; other relevant factors being held constant.

A- True B- False

5-In a hypothesis test about Mean, switching the significance level from .05 to .10 will make type I error more likely; other relevant factors being held constant.

A- True B- False

6-The larger is the gap between the hypothesized mean and the actual Mean, the stronger is "the power of the test."

A- True B- False

7-You cannot make a Type II error when the null hypothesis is correct.

A- True B- False

8-A tire manufacturer has to find the average tensile strength of rubber in a particular tire brand. Assuming normality and a known population standard deviation, the manager uses a Z test to check that the mean tensile strength is 850 pounds per square inch. The calculated Z-value is a positive value that yields a p-value of 0.015. If the specified alpha is 0.01 is used, we reject the Null hypothesis.

A- True B- False

9-The greater the p-value, the more we doubt the null hypothesis.

A- True B- False

10-The average for a professional basketball player, who is retiring. is 21 points per game. There are several potential replacements. The owner believes that signing a replacement is only justified if one scores an average more than 22 points per game. We can represent this Hypothesis Test problem as:

A-A.H0: 21 vs. H1: > 21 B-H0: 22 vs. H1: > 22 C- H0: 21 vs. H1: < 21 D-H0: 22 vs. H1: < 22

11-We are performing a "large sample" test of H0:: 10 vs. H1: > 10 with a critical value approach. The Null hypothesis will be rejected at significance level if the absolute value of calculated test statistic is:

A-Less than Z/2 B- Less than Z C-Greater than Za/2 D-Greater than Z E-Less than the p-value

12-If we do not reject a null hypothesis at the 0.05 significance level, we will__reject at the 0.10 level.

A-always B- sometimes C-never D-Cannot say without knowing one-tailed or two-tailed.

13- We are testing whether the average time employees stay with a company is less than three years, given that a randomly selected sample of 64 employees has a mean of 2.76 years and a standard deviation of 0.8 years. We assume a normal distribution. Our conclusion will be:

A-Reject the Null at 5% significance level but not at 1% level.

B-Reject the Null at 10% significance level but not at 5% level.

C-Reject the Null even at 1% significance level

D-Cannot reject the Null even at 10% significance level

E-Reject the Null at 5% significance level but not at 10% level

14- In a large sample test as H0: =10 vs. Ha: 10, using a p-value approach, we reject H0 at the level of significance when the p-value is:

a-greater than /2

b-greater than

c-less than

d-less than /2

e-Less than Z

15-If the sample size is less than 30 in a hypothesis test about population Mean with unknown population standard deviation, one compares the computed test statistic for significance with a value from the___distribution.

a-t

b-Z

c-Binomial

d-Hypergeometric

e-Left-skewed