# Confidence Intervals and Estimation Multiple Choice Questions and Answers 1 PDF Book Download

Confidence intervals and estimation multiple choice questions (MCQs), confidence intervals and estimation quiz answers, MBA business statistics test prep 1 to learn online business courses. Introduction of estimation MCQs, confidence intervals and estimation quiz questions and answers for admission and merit scholarships test. Practice introduction of estimation, sample statistics career test for business analyst certifications.

Learn confidence intervals and estimation quiz with multiple choice questions: range or set of values which have chances to contain value of population parameter with particular confidence level is considered as, with choices confidence interval estimate, secondary interval estimation, population interval estimate, and sample interval estimate for online masters degree. Practice jobs' assessment test for online learning introduction of estimation quiz questions with statistics MCQs for business administration certifications.

## MCQs on Confidence Intervals & Estimation Test 1 PDF Book Download

MCQ: 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: 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, 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 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

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

C

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

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

A