Sampling and Sampling distributions

Sampling is a technique to draw samples from a population, that is, Sampling is a process. The sampling distribution is a probability distribution of a statistic (such as mean, variance, proportion, etc.). This category contains posts about sampling and sampling distribution.

Sampling Distributions MCQ Quizzes

Online Sampling Distributions MCQs Quizzes for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These Online Quizzes about Sampling are also helpful in getting admission to different colleges and Universities.

Sampling and Sampling Distributions MCQ Quizzes

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Sampling and Sampling Distributions Quizzes

Most of the Online MCQs in this post cover sampling and Sampling Distributions, Probability Sampling and Non-Probability Sampling, Mean and Standard Deviation of Sample, Sample size, Sampling error, Sample bias, Sample Selection, etc.

Online Sampling and Sampling Distributions MCQ

The Online Quiz Sampling is about the 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.

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MCQs on Sampling Distribution Quiz – 8

The MCQs on sampling Distribution Quiz is about the Basics of Sampling and Sampling Distributions. It will help you understand the basic concepts of sampling methods and distributions. These MCQs on sampling distribution tests will also help you prepare for different exams related to education or jobs. Most of the MCQs on Sampling Distribution, cover the topics of Probability Sampling and Non-Probability Sampling, Mean and Standard Deviation of Sample, Sample size, Sampling error, Sample bias, Sample Selection, etc.

The post is for online multiple-choice questions about Sampling and Sampling Distribution with answers for preparing PPSC, FPSC, and school, College, University, Statistics, and Statistics job-related MCQS questions.

1. Which one of these sampling methods is a probability method?

 
 
 
 

2. If we have a population of 5, 4, 6, 8, 9, and $n=2$, how many possible samples will be selected from sampling without replacement?

 
 
 
 

3. In sampling with replacement, a sampling unit can be selected:

 
 
 
 

4. Stratification is to produce estimators with small:

 
 
 

5. Which of the elements are taken from a larger population according to certain rules?

 
 
 
 

6. The method of sampling in which the population is divided into mutually exclusive groups that have useful context in statistical research is classified as:

 
 
 
 

7. Sampling technique in which a sampling unit can be repeated (selected) more than once is called

 
 
 
 

8. The standard deviation of a sampling distribution is called:

 
 
 
 

9. Convenience sampling is also called:

 
 
 
 

10. Which one of the following is the main problem with using non-probability sampling techniques?

 
 
 
 

11. The weight of the stratum is equal to the proportion of:

 
 
 
 

12. Interviewing all members of a given population is called

 
 
 
 

13. Who proposed the variance of the sample mean in stratified sampling using proportional allocation?

 
 
 
 

14. If a researcher randomly samples 100 observations in each population category then his ______ sample will be _________.

 
 
 
 

15. Which one of the following is the benefit of using simple random sampling?

 
 
 
 

16. Procedure in which a number of elements is not proportional to a number of elements in the population is classified as:

 
 
 
 

17. The margin of error is the level of _______ you require:

 
 
 

18. When the number of observations drawn from a stratum is small relative to the overall size of the stratum then the _______ will also be small:

 
 
 
 

19. When sampling is done with or without replacement, $E(\overline{y})$ is equal to

 
 
 
 

20. For sampling, which one of the following should be up-to-date, complete, and affordable?

 
 
 
 


Online MCQs on Sampling Distribution

  • Convenience sampling is also called:
  • If we have a population of 5, 4, 6, 8, 9, and $n=2$, how many possible samples will be selected from sampling without replacement?
  • In sampling with replacement, a sampling unit can be selected:
  • Sampling technique in which a sampling unit can be repeated (selected) more than once is called
  • Which one of these sampling methods is a probability method?
  • Which one of the following is the main problem with using non-probability sampling techniques?
  • For sampling, which one of the following should be up-to-date, complete, and affordable?
  • Interviewing all members of a given population is called
  • Which one of the following is the benefit of using simple random sampling?
  • The standard deviation of a sampling distribution is called:
  • When sampling is done with or without replacement, $E(\overline{y})$ is equal to
  • Which of the elements are taken from a larger population according to certain rules?
  • The method of sampling in which the population is divided into mutually exclusive groups that have useful context in statistical research is classified as:
  • Procedure in which a number of elements is not proportional to a number of elements in the population is classified as:
  • The margin of error is the level of ______ you require:
  • If a researcher randomly samples 100 observations in each population category then his _________ sample will be _______.
  • The weight of the stratum is equal to the proportion of:
  • When the number of observations drawn from a stratum is small relative to the overall size of the stratum then the _________ will also be small:
  • Who proposed the variance of the sample mean in stratified sampling using proportional allocation?
  • Stratification is to produce estimators with small:
MCQs on Sampling Distribution

MCQs on sampling distribution 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.

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Online MCQs about Intermediate Mathematics Part II

MCQ Sampling Quiz – 7

The Online MCQ sampling Quiz is about the Basics of Sampling and Sampling Distributions. It will help you understand the basic concepts of sampling methods and distributions. This Online MCQ Sampling Quiz will help the students to prepare for different exams related to education or jobs. Most of the MCQs on this page cover MCQ Sampling and Sampling Distributions, Probability Sampling and Non-Probability Sampling, Mean and Standard Deviation of Sample, Sample size, Sampling error, Sample bias, Sample Selection, etc.

Please go to MCQ Sampling Quiz – 7 to view the test

Online MCQ Sampling Quiz

  • If $E(\overline{X})=10$ and $\mu=10$ then bias is equal to
  • If $\overline{X}=10$ and $\mu=12$ then sampling error is
  • The standard deviation of the distribution of sample means is equal to
  • If $n=25$, $\sigma^2=25$, and $\overline{X}=25$, then standard error of $\overline{X}$ will be
  • $S^2=\frac{\sum (X-\overline{X})^2}{n}$ is called
  • $s^2=\frac{\sum(X-\overline{X})^2}{n-1}$ is called
  • If $E(s^2)=3$ and $\sigma^2=2$ then bias will be
  • In sampling without replacement, the standard error of sampling distribution of sample proportion $\hat{p}$ is equal to
  • When sampling is done without replacement $\sigma_{\overline{X}}$ is equal to
  • In case of sampling with replacement $\sigma_{\hat{p}1 – \hat{p}_2}$ is equal to
  • The distribution of the means of samples of size 4, taken from a population with a standard deviation $\sigma$, has a standard deviation of
  • In sampling with replacement, $\sigma{\overline{X}1 – \overline{X}_2}$ is equal to
  • When sampling is done with or without replacement, $E(\hat{p}_1 – \hat{p}_2)$ is equal to
  • In case of sampling with replacement, $E(S^2)$ is equal to
  • In sampling without replacement, the expected value of $S^2$ is equal to
  • When sampling is done with replacement, then $\mu{s^2}$ is equal to
  • In sampling without replacement, $\mu_{s^2}$ is equal to
  • When sampling is done with or without replacement, $\mu_{\overline{X}_1-\overline{X}_2}$ is equal to
  • If $X$ represents the number of units having the specified characteristic and $n$ is the size of the sample then sample proportion $\hat{p}$ is equal to
  • If $X$ represents the number of units having the specified characteristic and $N$ is the size of the population, then population proportion $p$ is equal to
MCQs Sampling Quiz and Sampling Distribution

MCQ sampling Quiz 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.

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