| 1 |
If population proportion (P) is unknown, the standard error of the sample proportion (p) can be estimated by the formula |
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| 2 |
If (1-α) is increased, the with of a confidence interval is: |
- A. Decreased
- B. Increased
- C. Constant
- D. Same
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| 3 |
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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| 4 |
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
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| 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
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| 6 |
If the observations are paired and the number of pairs is n, then the number of degree of freedom is equal to |
- A. n
- B. n - 1
- C. 2n
- D. 2n - 1
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| 7 |
A range of values within which the population parameter is expected: |
- A. Confidence interval
- B. Confidence coefficient
- C. Confidence limits
- D. Level of significance
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| 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
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| 9 |
Statistic is an estimator and its calculated value is called: |
- A. Biased estimate
- B. Estimation
- C. Interval estimate
- D. Estimate
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| 10 |
A single value used to estimate a population value is called: |
- A. Interval estimate
- B. Point estimate
- C. Confidence interval
- D. Level of confidence
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