| 1 |
A statement about the value of a population parameter is called: |
- A. Null hypothesis
- B. Alternative hypothesis
- C. Simple hypothesis
- D. Composite hypothesis
|
| 2 |
P(type II error) is equal to: |
- A. α
- B. β
- C. 1 - α
- D. 1 - β
|
| 3 |
Suppose that the null hypothesis is true and it is rejected, is known as: |
- A. α type-I error, and its probability is β
- B. α type-I error, and its probability is α
- C. α type-II error, and its probability is α
- D. α type-II error, and its probability is β
|
| 4 |
The hypothesis which is tested for possible rejection is called |
- A. common hypothesis
- B. null hypothesis
- C. alternative hypothesis
- D. wrong hypothesis
|
| 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 |
Level of significance is also called: |
- A. Power of the test
- B. Size of the test
- C. Level of confidence
- D. Confidence coefficient
|
| 8 |
If the null hypothesis is false, we many accept it leading to a ----------- decision |
- A. true
- B. correct
- C. wrong
- D. none of these
|
| 9 |
A quantitative statement about a population is called: |
- A. Research hypothesis
- B. Composite hypothesis
- C. Simple hypothesis
- D. Statistical hypothesis
|
| 10 |
A hypothesis that specifies all the value of parameter is called: |
- A. Statistical hypothesis
- B. Simple hypothesis
- C. Composite hypothesis
- D. None of these
|
