| 1 |
The degree of confidence is equal to: |
- A. β
- B. 1 - β
- C. 1 - α
- D. α
|
| 2 |
The hypothesis which we are willing to accept when the null hypothesis is rejected is called |
- A. simple hypothesis
- B. composite hypothesis
- C. null hypothesis
- D. alternative hypothesis
|
| 3 |
If Ho:π >πo , H1:π <πo and level of significance is=α then Ho will be rejected if |
- A. Z < Z=α
- B. Z=α/2 < Z
- C. Z > Z1-α
- D. Z < Z1-α
|
| 4 |
P(type II error) is equal to: |
- A. α
- B. β
- C. 1 - α
- D. 1 - β
|
| 5 |
A statistic on the basis of which a decision is made about the hypothesis of interest is called |
- A. critical region
- B. test statistic
- C. parameter
- D. rejection region
|
| 6 |
The values of test statistic which separate the rejection and non rejection regions for the test are called |
- A. simple values
- B. critical values
- C. parametric values
- D. none of these
|
| 7 |
The alternative hypothesis is also called: |
- A. Null hypothesis
- B. Statistical hypothesis
- C. Research hypothesis
- D. Simple hypothesis
|
| 8 |
The Level of ------------- of test is the maximum probability with which we are willing to a risk of type -I error |
- A. correction
- B. error
- C. significance
- D. statistics
|
| 9 |
If critical region is located equally in both tails of the sampling distribution of test statistic, the test is called ------------- test |
- A. one tailed
- B. two tailed
- C. left tailed
- D. right tailed
|
| 10 |
A quantitative statement about a population is called: |
- A. Research hypothesis
- B. Composite hypothesis
- C. Simple hypothesis
- D. Statistical hypothesis
|
