Introduction of Estimation Multiple Choice Questions with Answers – PDF Download

MCQ 1: The range or set of values which have chances to contain value of population parameter with particular confidence level is considered as:

1. secondary interval estimation
2. confidence interval estimate
3. population interval estimate
4. sample interval estimate

MCQ 2: The upper and lower boundaries of interval of confidence are classified as:

1. error biased limits
2. marginal limits
3. estimate limits
4. confidence limits

MCQ 3: For a parameter whose value is unknown, the belief or claim for that parameter is classified as:

1. parameter claim testing
2. expected belief testing
3. hypothesis testing
4. primary limit testing

MCQ 4: To develop interval estimate of any parameter of population, the value which is added or subtracted from the point estimate is classified as:

1. margin of efficiency
2. margin of consistency
3. margin of biasedness
4. margin of error

MCQ 5: Considering the sample size, the sampling distribution standard error decreases when the:

1. size of sample increases
2. size of sample decreases
3. margin of error increases
4. margin of error decreases