Introduction of Estimation MCQ (Multiple Choice Questions) PDF Download

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

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

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

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

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