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Practice Confidence Intervals and Estimation multiple choice questions and answers, MBA quiz answers PDF to solve Business Statistics worksheets 1 for online colleges. Solve introduction of estimation MCQs, Confidence Intervals and Estimation trivia questions and answers for admission and merit scholarships test. Confidence Intervals and Estimation MCQ PDF: 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 introduction of estimation quiz questions for jobs' assessment test and online courses for grad cert business administration.

1.

The 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

2.

The upper and lower boundaries of interval of confidence are classified as

error biased limits

marginal limits

estimate limits

confidence limits

d

3.

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

parameter claim testing

expected belief testing

hypothesis testing

primary limit testing

c

4.

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

4.044

3.044

1.044

2.044

c

5.

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

unbiased estimator

biased estimator

interval estimator

hypothesis estimator

a

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