Question

# 1. A null hypothesis states that there is A. No significant difference between a population parameter...

1. A null hypothesis states that there is

A. No significant difference between a population parameter and sample statistic.

B. A significant difference between a population parameter and sample statistic.

C. The difference between the population parameter and sample statistic is significant and can be attributed to sampling error.

D. The difference between the population parameter and sample statistic is insignificant and cannot be attributed to sampling error.

E. None of the above

2. An alternative hypothesis states that there is

A. No significant difference between a population parameter and sample statistic.

B. A significant difference between a population parameter and sample statistic.

C. The difference between the population parameter and sample statistic is significant and can be attributed to sampling error.

D. The difference between the population parameter and sample statistic is insignificant and cannot be attributed to sampling error.

E. None of the above

3. Which of the following is a correct statement:

A. A type II error occurs if you reject the null hypothesis when it is true.

B. A type I error occurs if you reject the null hypothesis when it is false.

C. A type 1 error occurs if you accept the null hypothesis when it is true.

D. A type I error occurs if you reject the null hypothesis when it is true.

E. None of the above are correct.

4. Which of the following is a correct statement:

A. A type II error occurs if you do not accept the null hypothesis when it is false.

B. A type II error occurs if you do not reject the null hypothesis when it is true.

C. A type II error occurs if you do not reject the null hypothesis when it is false.

D. A type I error occurs if you do not reject the null hypothesis when it is false.

E. None of the above are correct.

5. When considering our alternative hypothesis, words synonymous with "larger, more, higher, further, bigger" would be suggest which kind of hypothesis test?

A. Left tail B. 2 tail C. both A and B D. Right tail E. None of the above are correct

6. When considering our alternative hypothesis, words synonymous with "smaller, fewer, lower, decrease" would be suggest which kind of hypothesis test?

A. Left tail B. 2 tail C. both A and B D. Right tail E. None of the above are correct

7. Which is not a step in the hypothesis test process:

A. State Ho and h1 B. Find critical values C. Calculate test value (T or Z formula) D. Decide to Reject or Accept ho E. Calculate the range

8. The critical value separates the _____________________ from the ___________________.

A. non critical region, acceptance region B. rejection region, critical region C. alpha region, non-biased region D. non critical region, critical region E. none of the above

9. A test value landing in the ______________ region would be grounds for__________ the ________________ hypotheses.

A. non critical, rejecting, null B. non critical, accepting, alternative C. non-critical, accepting, null D. critical, accepting, null E. none of the above

10. In a two-tailed test, the null hypothesis should be: A. rejected when the test value is in either of the two critical regions B. accepted when the test value is in either of the two critical regions C. rejected when the test value is in the non-critical region. D none of the above are correct E. Both A and C

Dear student, we can provide you with the solution of 4 sub question at a time.

1) option A is right

The null hypothesis is the hypothesis a researcher or experimenter will try to disprove.

No significant difference between a population parameter and sample statistic.

2) option B is right.

A significant difference between a population parameter and the sample statistic.

An alternative hypothesis is one that states the test is significant.

3) Type I error is the incorrect rejection of a true null hypothesis.

A type II error is also known as a false negative and occurs when a researcher fails to reject a null hypothesis which is really false

option D is right

4) option C is right.

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