# Confidence Intervals and Estimation Multiple Choice Questions and Answers 1 pdf eBooks Download

Learn confidence intervals and estimation multiple choice questions (MCQs), business statistics test 1 online for exams. Practice introduction of estimation MCQs questions and answers on introduction of estimation, sample statistics with answers. Free confidence intervals and estimation quiz, online study guide has helping answer key with choices as confidence interval estimate, secondary interval estimation, population interval estimate and sample interval estimate of multiple choice questions (MCQ) as range or set of values which have chances to contain value of population parameter with particular confidence level is considered as to test learning skills for viva exam preparation and job's interview questions. Study to learn introduction of estimation quiz questions to practice online MCQs for competitive exam preparation test.

## MCQ on Confidence Intervals and Estimation Quiz pdf Download Test 1

MCQ. Range or set of values which have chances to contain value of population parameter with particular confidence level is considered as

- secondary interval estimation
- confidence interval estimate
- population interval estimate
- sample interval estimate

B

MCQ. Upper and lower boundaries of interval of confidence are classified as

- error biased limits
- marginal limits
- estimate limits
- confidence limits

D

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

- parameter claim testing
- expected belief testing
- hypothesis testing
- primary limit testing

C

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

- 4.044
- 3.044
- 1.044
- 2.044

C

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

- unbiased estimator
- biased estimator
- interval estimator
- hypothesis estimator

A