| 1 |
If mean of the sampling distribution is equal to the parameter then the estimator will be |
- A. biased
- B. consistent
- C. sufficient
- D. unbiased
|
| 2 |
If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula |
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| 3 |
100(1-α)% confidence interval for population proportion of success,&=nbsp;π is |
- A. P (L <μ < U) = 1 - α
- B. P (L <σ < U) = 1 - α
- C. P (L <π< U) = 1 - α
- D. P (L <P&=nbsp;< U) = 1 - α
|
| 4 |
Statistic is an estimator and its calculated value is called: |
- A. Biased estimate
- B. Estimation
- C. Interval estimate
- D. Estimate
|
| 5 |
Large sample contains more than |
- A. 5 values
- B. 10 values
- C. 20 values
- D. 30 values
|
| 6 |
Confidence intervals which are often used in practice are |
- A. 90%
- B. 95%
- C. 98%
- D. all of these
|
| 7 |
The probability associated with confidence interval is called: |
- A. Level of confidence
- B. Confidence coefficient
- C. Both A and B
- D. Confidence limits
|
| 8 |
An estimator is ------------ if its expected value is equal to the population parameter to be estimated |
- A. bad
- B. biased
- C. unbiased
- D. none of these
|
| 9 |
Level of significance is denoted by |
- A. 2 - α
- B. 3 - α
- C. α
- D. 1 - α
|
| 10 |
The standard error of the estimate increased by decreasing |
- A. population
- B. sample size
- C. errors
- D. precision
|
