Sampling and Sampling distributions

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

Multiple Choice Questions about Sampling and Sampling Distributions

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

 The expense

 Human Judgment error

 Informants can refuse to participate

 The results are never representative

2. Cluster sampling, stratified sampling, and systematic sampling are types of

 Non-random sampling

 Direct sampling

 Indirect sampling

 Random sampling

3. In systematic sampling, the value of $k$ is classified as

 Sampling Interval

 Sub Stage interval

 Multistage interval

 Secondary stage interval

4. In systematic sampling, when $N=18$ with $n=3$ what will be the value of $k$?

 5

 6

 8

 4

5. In which of the following non-random sampling techniques does the researcher ask the research participants to identify other potential research participants?

 Convenience

 Snowball

 Quota

 Purposive

6. If a statistician randomly samples 50 observations in each population category then his sample will be ———-.

 Stratified

 Systematic

 Proportional

 Cluster

7. If we took the 500 people attending a school in a city, divided them by gender, and then took a random sample of males and a random sampling of females, the variable on which we divide the population is called the

 Stratification variable

 Sampling variable

 Independent variable

 Dependent variable

8. When Hartley-Ross proposed the unbiased ratio estimator?

 In 1965

 In 1964

 In 1975

 In 1954

9. The average of cluster means is the unbiased estimator of a population mean when

 Both equal and unequal cluster sizes

 Clusters are equal sizes

 Clusters are unequal sizes

 When Clusters are heterogeneous

10. The auxiliary variable is also called

 Supporting variable

 Constant

 Dependent variable

 Sampling variable

11. There are 50 students in a class. A data analyst wants to know if a majority of students like the instructor. They decided to survey the 15 students who earned an A in the class because these students were paying attention to the instructor. Which of the following statements best describes this sample?

 Representative

 Impartial

 Objective

 Biased

12. The human resources department at company XYZ has 42 workers in int. To find out some information about the group as a whole, we want to take a sample of 7 of those workers to interview. If we have an ordered list of workers numbered 1 through 42, and we start at worker number 3, which worker would be included in our sample?

 1, 4, 7, 10, 13, 16, 19

 3, 9, 15, 21, 27, 33, 39

 3, 10, 17, 24, 31, 38

 3, 4, 5, 6, 7, 8, 9

13. Which of the following sampling methods is the best way to select a group of people for a study if you are interested in making statements about the larger population?

 Purposive Sampling

 Convenience Sampling

 Random Sampling

 Quota Sampling

14. The listing of elements in a population with identifiable numbers is classified as

 Direct experimental frame

 Regularity experimental frame

 Indirect experiment frame

 Frame for experiment

15. In cluster sampling, elements of selected clusters are classified as

 Primary Units

 Secondary Units

 Proportional Units

 Elementary Units

16. Which of the following would usually require the largest sample size because of its efficiency?

 Quota sampling

 One stage cluster sampling

 Two stage cluster sampling

 Simple random sampling

17. Sampling in qualitative research is similar to which type of sampling in quantitative research?

 Quota Sampling

 Systematic Sampling

 Purposive Sampling

 Simple random sampling

18. A procedure in which the number of elements in a stratum is not proportional to the number of elements in populations is classified as

 Non-proportional procedure

 Indirect strata procedure

 Direct strata procedure

 Proportional procedure

19. All of the following are true about cluster sampling except

 Is a Rapid and Simple method

 The sample size may vary according to study design

 Samples are similar to those in simple random sampling

 It is a type of probability sample

20. In a double sampling plan, if the number of defects are in between the two numbers C1 and C2 then

 Take another sample

 Reject the lot

 Nothing can be done

 Accept the lot

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Sampling Quiz With Answers

• A procedure in which the number of elements in a stratum is not proportional to the number of elements in populations is classified as
• Cluster sampling, stratified sampling, and systematic sampling are types of
• The listing of elements in a population with identifiable numbers is classified as
• There are 50 students in a class. A data analyst wants to know if a majority of students like the instructor. They decided to survey the 15 students who earned an A in the class because these students were paying attention to the instructor. Which of the following statements best describes this sample?
• When Hartley-Ross proposed the unbiased ratio estimator?
• Which of the following sampling methods is the best way to select a group of people for a study if you are interested in making statements about the larger population?
• The auxiliary variable is also called
• The average of cluster means is the unbiased estimator of a population mean when
• In cluster sampling, elements of selected clusters are classified as
• Sampling in qualitative research is similar to which type of sampling in quantitative research?
• Which of the following would usually require the largest sample size because of its efficiency?
• All of the following are true about cluster sampling except
• The human resources department at company XYZ has 42 workers in int. To find out some information about the group as a whole, we want to take a sample of 7 of those workers to interview. If we have an ordered list of workers numbered 1 through 42, and we start at worker number 3, which worker would be included in our sample?
• If a statistician randomly samples 50 observations in each population category then his sample will be ———-.
• In which of the following non-random sampling techniques does the researcher ask the research participants to identify other potential research participants?
• In systematic sampling, when $N=18$ with $n=3$ what will be the value of $k$?
• In systematic sampling, the value of $k$ is classified as
• If we took the 500 people attending a school in a city, divided them by gender, and then took a random sample of males and a random sampling of females, the variable on which we divide the population is called the
• In a double sampling plan, if the number of defects is in between the two numbers C1 and C2 then
• Which ONE of the following is the main problem with using non-probability sampling techniques?

MCQs Test Preparation Website

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 Important 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

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