| 1 |
(1-α) is called: |
- A. Critical value
- B. Level of significance
- C. Level of confidence
- D. Interval estimate
|
| 2 |
If mean of the sampling distribution is equal to the parameter then the estimator will be |
- A. biased
- B. consistent
- C. sufficient
- D. unbiased
|
| 3 |
Confidence intervals which are often used in practice are |
- A. 90%
- B. 95%
- C. 98%
- D. all of these
|
| 4 |
By increasing the sample size, the precision of confidence interval is: |
- A. Decreased
- B. Increased
- C. Constant
- D. Unchanged
|
| 5 |
If (1-α) is increased, the with of a confidence interval is: |
- A. Decreased
- B. Increased
- C. Constant
- D. Same
|
| 6 |
|
- A. biased
- B. unbiased
- C. positively biased
- D. none of these
|
| 7 |
Statistical inference has two branches namely: |
- A. Level of confidence and degrees of freedom
- B. Biased estimator and unbiased estimator
- C. Point estimate and interval estimate
- D. Estimation of parameter and testing of hypothesis
|
| 8 |
The difference of upper and lower limits of confidence interval measures the |
- A. level of significance
- B. level of confidence
- C. interval
- D. precision
|
| 9 |
Estimation is of two types: |
- A. One sides and two sides
- B. Type I and type II
- C. Point estimation and interval estimation
- D. Biased and unbiased
|
| 10 |
Estimate is the observed value of an: |
- A. Unbiased estimator
- B. Estimation
- C. Estimator
- D. Interval estimation
|
