| 1 |
Types of statistical inferences are |
- A. one
- B. two
- C. three
- D. four
|
| 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 |
By increasing the sample size, the precision of confidence interval is: |
- A. Decreased
- B. Increased
- C. Constant
- D. Unchanged
|
| 4 |
If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula |
|
| 5 |
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
|
| 6 |
Level of significance is denoted by |
- A. 2 - α
- B. 3 - α
- C. α
- D. 1 - α
|
| 7 |
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
|
| 8 |
If mean of the sampling distribution is equal to the parameter then the estimator will be |
- A. biased
- B. consistent
- C. sufficient
- D. unbiased
|
| 9 |
The standard error of the estimate increased by decreasing |
- A. population
- B. sample size
- C. errors
- D. precision
|
| 10 |
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
|
