1. If the null hypothesis is false then which of the following is accepted?
A. Alternate hypothesis
B. Null hypothesis
C. Positive hypothesis
D. Composite hypothesis
2. If the assumed hypothesis is tested for rejection it is known as
A. Positive hypothesis
B. Statistical hypothesis
C. Negative hypothesis
D. Null hypothesis
3. The type of test is defined by which of the following?
A. Alternate hypothesis
B. Null hypothesis
C. Simple hypothesis
D. Composite hypothesis
4. Which of the following is defined as the rule or formula to test null a hypothesis?
A. Null statistic
B. Population statistic
C. Variance statistic
D. Test statistic
5. Alternate hypothesis is also known as
A. Null hypothesis
B. Composite hypothesis
C. Negative hypothesis
D. Research hypothesis
6. If the critical region is evenly distributed then the test is referred as
A. One tailed
B. Zero tailed
C. Two tailed
D. Multiple tailed
7. The rejection probability of null hypothesis when it is true it is called
A. Level of margin
B. Level of rejection
C. Level of confidence
D. Level of significance
8. The point where null hypothesis gets rejected is known as
A. Acceptance value
B. Critical value
C. Significance value
D. None of the above
9. Each of the following is true with respect to Hypothesis testing except for
A. The statement of the alternative hypothesis always contains an equal sign
B. By failing to reject the null hypothesis, one has not proven that the alternative hypothesis is correct
C. If the null hypothesis is not rejected, it does not mean the null is true
D. There are no exceptions, because all of the statements above are true
10. Which of the following statements is false?
A. Ho (null hypothesis) refers to a specified value of the population parameter.
B. The statement of Ha (alternate hypothesis) never contains equality.
C. Ho (null hypothesis) refers to a specified value of a sample statistic
D. The statement of Ho (null hypothesis) always contains an equality.
11. Which of the following measures how close the observed sample statistic has come to the hypothesized population parameter?
A. Sample size
B. Test statistic
C. Level of significance
D. Confidence coefficient
12. In a hypothesis test, the probability of obtaining a value of the test statistic equal to or even more extreme than the value observed – given the null hypothesis is true – is referred to as
A. P-value
B. Statistical power
C. Estimate
D. Confidence interval
13. Type 1 error occurs when?
A. We reject Null hypothesis if it is True
B. We reject Null hypothesis if it is False
C. We accept Null hypothesis if it is False
D. We accept Null hypothesis if it is True
14. If a hypothesis is rejected at a 0.025 level of significance, it
A. Must be rejected at any level
B. Must be rejected at 0.01 level
C. May or may not be rejected at 0.01 level
D. Must not be rejected at 0.01 level
15. The probability of Type 1 error is referred as?
A. 1-α
B. 1-β
C. β
D. α
16. Type II error occurs when
A. We do not reject a false hypothesis
B. We reject a false null hypothesis
C. We do not reject a true null hypothesis
D. None of the above
17. The probability of the sample point falling on the critical region when H1 is true
A. α
B. β
C. 1- β
D. None of the above
18. If we reject the null hypothesis, it can be concluded that
A. There is not enough statistical evidence to infer that the alternate hypothesis is true
B. There is enough statistical evidence to infer that the null hypothesis is true
C. The test is statistically insignificant at whatever level of significance the test was conducted
D. There is enough statistical evidence to infer that the alternate hypothesis is true
19. It is the probability of type-II error
A. β
B. α
C. 1- β
D. None of the above
20. If we do not reject the null hypothesis, it can be concluded that
A. There is not enough statistical evidence to infer that the alternate hypothesis is true
B. There is enough statistical evidence to infer that the null hypothesis is true
C. The test is statistically insignificant at whatever level of significance the test was conducted
D. There is enough statistical evidence to infer that the alternate hypothesis is true