MCQs Sampling – 3

The Quiz MCQs sampling distribution contains for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These tests are also helpful in getting admission to different colleges and Universities.

1. The sampling procedure that includes all units of the population in the study is called


2. Why do sampling errors occur?


3. How is stratified sampling carried out?


4. Which of the following is NOT one of the principles of sampling listed in the text?


5. If all other factors specified in an attribute sampling plan remain constant, changing the specified tolerable deviation rate from 6% to 10%, and changing the specified risk from 97% to 93%, would cause the required sample size to


6. Which of the following is not an example of a non-sampling risk?


7. The advantage of using statistical sampling techniques is that such techniques


8. Which of the following is an example of using statistical sampling?


9. The sampling procedure in which an interviewer is asked to interview 25 teachers, 50 public servants, and 25 farmers are called


10. Probability sampling is the procedure that gives all units


Most of the MCQs on this page are covered from Sampling and Sampling Distributions, Probability Sampling and Non-Probability Sampling, Mean and Standard Deviation of Sample, Sample size, Sampling error, Sample bias, and Sample Selection, etc.

Sampling Quiz is about Basics of Sampling and Sampling Distributions. It will help you to understand the basic concepts related to sampling methods and sampling distributions. This test will also help you to prepare yourself for different exams related to education or jobs.

MCQs Sampling and Sampling Distribution

2 thoughts on “MCQs Sampling – 3”

  1. Sir I am student of math Msc math in distance learning in comsat virtual campusurse .One of my course of Msc Math is Sampling and Design Analysis. .I am facing a lot of problem for my assignments quizez and gdbs of this course course Would you like to help me

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