| 1 |
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- A. biased
- B. unbiased
- C. positively biased
- D. none of these
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| 2 |
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
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| 3 |
Small sample has less than |
- A. 50 values
- B. 45 values
- C. 30 values
- D. 35 values
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| 4 |
The distance between an estimate and the estimated parameter is called: |
- A. Sampling error
- B. Standard error
- C. Bias
- D. Error of estimation
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| 5 |
The endpoints of a confidence interval are called: |
- A. confidence coefficient
- B. Confidence limits
- C. Error of estimation
- D. Parameters
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| 6 |
The standard error of the estimate increased by decreasing |
- A. population
- B. sample size
- C. errors
- D. precision
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| 7 |
A specific value of an estimator computed from the sample data is called |
- A. estimation
- B. estimate
- C. interval estimate
- D. point estimate
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| 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
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| 9 |
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
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| 10 |
If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula |
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