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1 Retaining the null hypothesis assumes which of the following a

1. Retaining the null hypothesis assumes which of the following?

a. There is no difference between sample means.

b. There is no difference between population means.

c. The difference between means is significant.

d. The difference between means is too large to be a sampling error.

2. The larger the z score,

a. the greater the distance of our mean difference from zero.

b. the more likely we are to reject the null hypothesis.

c. the more likely that our result is significant.

d. All of the above

3. At P = .01, a mean difference in a sampling distribution occurs

a. by sampling error once in every 100 mean differences.

b. by sampling error more than 99 times in every 100 mean differences.

c. very frequently by sampling error.

4. The level of probability at which the null hypothesis can be rejected with confidence is known as the

a. level of significance.

b. distribution.

c. degrees of freedom.

d. All of the above

5. The farther out in the tail of a distribution our critical value falls, the greater the risk of making a

a. Type 1 error.

b. Type 2 error.

c. Type 1 and Type 2 error.

d. Type 3 error.

a. There is no difference between sample means.

b. There is no difference between population means.

c. The difference between means is significant.

d. The difference between means is too large to be a sampling error.

2. The larger the z score,

a. the greater the distance of our mean difference from zero.

b. the more likely we are to reject the null hypothesis.

c. the more likely that our result is significant.

d. All of the above

3. At P = .01, a mean difference in a sampling distribution occurs

a. by sampling error once in every 100 mean differences.

b. by sampling error more than 99 times in every 100 mean differences.

c. very frequently by sampling error.

4. The level of probability at which the null hypothesis can be rejected with confidence is known as the

a. level of significance.

b. distribution.

c. degrees of freedom.

d. All of the above

5. The farther out in the tail of a distribution our critical value falls, the greater the risk of making a

a. Type 1 error.

b. Type 2 error.

c. Type 1 and Type 2 error.

d. Type 3 error.

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