| 1 |
Large sample contains more than |
- A. 5 values
- B. 10 values
- C. 20 values
- D. 30 values
|
| 2 |
The distance between an estimate and the estimated parameter is called: |
- A. Sampling error
- B. Standard error
- C. Bias
- D. Error of estimation
|
| 3 |
Types of statistical inferences are |
- A. one
- B. two
- C. three
- D. four
|
| 4 |
A range of values used to estimate an unknown population parameter is |
- A. a point estimator
- B. An interval estimator
- C. an unbiased estimator
- D. A biased estimator
|
| 5 |
Small sample has less than |
- A. 50 values
- B. 45 values
- C. 30 values
- D. 35 values
|
| 6 |
The precision can be increased by ---------------- the sample size |
- A. increasing
- B. decreasing
- C. changing
- D. ignoring
|
| 7 |
If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula |
|
| 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 |
The endpoints of a confidence interval are called: |
- A. confidence coefficient
- B. Confidence limits
- C. Error of estimation
- D. Parameters
|
| 10 |
If mean of the sampling distribution is equal to the parameter then the estimator will be |
- A. biased
- B. consistent
- C. sufficient
- D. unbiased
|
