Confidence Intervals and Estimation Multiple Choice Questions and Answers (MCQs), confidence intervals and estimation quiz answers PDF, business statistics test 1 to study online certificate courses. Learn introduction of estimation MCQs, "Confidence Intervals and Estimation" quiz questions and answers for admission and merit scholarships test. Learn introduction of estimation, sample statistics career test for online business administration school.

"The range or set of values which have chances to contain value of population parameter with particular confidence level is considered as" Multiple Choice Questions (MCQ) on confidence intervals and estimation with choices confidence interval estimate, secondary interval estimation, population interval estimate, and sample interval estimate for business administration and management colleges. Practice jobs' assessment test, online learning introduction of estimation quiz questions for grad cert business administration.

MCQ: 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

B

MCQ: 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

D

MCQ: 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

C

MCQ: If the standard deviation of population 1 is 3 with sample size is 8 and the population 2 standard deviation is 5 with sample size is 7 then the standard deviation of sampling distribution is

1. 4.044
2. 3.044
3. 1.044
4. 2.044

C

MCQ: Considering the sample statistic, if the mean of sampling distribution is equal to population mean then the sample statistic is classified as

1. unbiased estimator
2. biased estimator
3. interval estimator
4. hypothesis estimator

A