Confidence Intervals and Estimation Multiple Choice Questions 1 PDF Download

Practice confidence intervals and estimation multiple choice questions (MCQs), business statistics test 1 for online 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 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 with online learning MCQs for competitive exam preparation test.

MCQ on Confidence Intervals and Estimation Quiz PDF Download Test 1

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