Sampling and Sampling distributions

The post is about Multiple Choice Questions Related to Sampling and Sampling Techniques Quiz. There are 20 MCQs about Sampling Techniques covering the topics related, to stratified sampling, cluster sampling, and simple random sampling. Let us start with the Sampling Techniques Quiz.

Online Multiple Choice Questions about Sampling and Sampling Techniques with Answers

1. When the population is badly affected, which type of sampling is appropriate?

 Cluster sampling

 None of these

 Systematic sampling

 Stratified random sampling

2. A randomly selected sample of 1000 college students was asked whether they had ever used the drug Ecstasy. Sixteen percent (16% or 0.16) of the 1000 students surveyed said they had which one of the following statements about the number 0.16 is correct?

 It is a randomly chosen number

 It is population proportion

 It is a margin of error

 It is a sample proportion

3. A group consists of 300 people and we are interviewing all members of a given group called

 A Nielsen Audit

 A census

 A sample

 A Gallup poll

4. When the procedure of selecting the elements from the population is not based on probability is known as

 All of the given options

 Judgment sampling

 Subjective sampling

 Purposive sampling

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

 Informants can refuse to participate

 The results are never representative

 Human Judgement Error

 The expense

6. If the respondents do not provide the required information to the researcher, then it is known as

 Non-Sampling Error

 Both of the Above

 None of the Above

 Problem of Non-Response

7. In stratified random sampling with strata weights 0.35, 0.55, and 0.10, and standard deviations 16, 23, and 19, and sample sizes 70, 110, and 20, the variance of the sample mean estimator is?

 2.72

 1.56

 1.65

 2.27

8. Which of the following is not a characteristic of quota sampling?

 It is relatively fast and cheap way of finding out about public opinions

 Those who are available to be surveyed in public places are unlikely to constitute a representative sample

 The researcher chooses who to approach and so might bias the sample

 The random selection of units makes if possible to calculate the standard error

9. One similarity between the stratified sampling method and the cluster sampling method is that

 In both cases the units must be divided into homogeneous groups

 In both cases the units must be divided into groups that resemble a “minipopulation”

 In both cases the units must be divided into mutually exclusive groups

 In both cases the units must be divided into equal-sized groups

10. Suppose that all the units in the population are divided into ten mutually exclusive groups. The word “mutually exclusive” means that

 Any two groups you consider will not have any common units

 Each group is homogeneous

 Each group has the same number of units

 The units in different groups do not talk to each other

11. In a cluster random sampling method

 A simple random sample of clusters is selected and every unit in the cluster is chosen

 Each cluster is of same size

 None of these

 Each cluster is roughly homogeneous

12. Sample allocation plan that provides the most precision, given a fixed sample size is

 Equal allocation

 Neyaman allocation

 Proportional allocation

 Simple random sampling

13. In a stratified random sampling method

 None of these

 Each strata is one of the same siz

 A simple random sample is selected from each strata

 Each strata rough resembles the population

14. The cluster sampling method differs from the stratified sampling method in that

 None of these

 In the cluster sampling method, the units must be divided into rather homogeneous groups

 In the cluster sampling method, units must be divided into equal-sized groups

 In the cluster sampling method, the units must be divided into groups that roughly resemble a “minipopulation”

15. Problem of non-Response

 No Meaning

 Can be solved

 No solution

 None of these

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

 Two stage cluster sampling

 One stage cluster sampling

 Quota sampling

 Simple random sampling

17. If larger units have more probability of their inclusion in the sample, the sampling is known as

 Stratified Random Sampling

 SRSWR

 PPS Sampling

 SRSWOR

18. The mean of clusters average is the biased estimator of a population mean when

 Both equal and unequal cluster sizes

 None of these

 Clusters are equal sizes

 Clusters are unequal sizes

19. Before completing a survey, an individual acknowledges reading information about how and why the data they provide will be used. What is this concept called?

 Discretion

 Consent

 Currency

 Privacy

20. ————- is a set of elements taken from a larger population according to certain rules.

 Element

 Sample

 Statistic

 Population

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MCQs Sampling Techniques Quiz with Answers

• Sample allocation plan that provides the most precision, given a fixed sample size is
• In stratified random sampling with strata weights 0.35, 0.55, and 0.10, and standard deviations 16, 23, and 19, and sample sizes 70, 110, and 20, the variance of the sample mean estimator is?
• A group consists of 300 people and we are interviewing all members of a given group called
• When the procedure of selecting the elements from the population is not based on probability is known as
• Problem of non-Response
• If the respondents do not provide the required information to the researcher, then it is known as
• If larger units have more probability of their inclusion in the sample, the sampling is known as
• The cluster sampling method differs from the stratified sampling method in that
• One similarity between the stratified sampling method and the cluster sampling method is that
• In a cluster random sampling method
• In a stratified random sampling method
• Suppose that all the units in the population are divided into ten mutually exclusive groups. The word “mutually exclusive” means that
• When the population is badly affected, which type of sampling is appropriate?
• A randomly selected sample of 1000 college students was asked whether they had ever used the drug Ecstasy. Sixteen percent (16% or 0.16) of the 1000 students surveyed said they had which one of the following statements about the number 0.16 is correct?
• Which ONE of the following is the main problem with using non-probability sampling techniques?
• Which of the following is not a characteristic of quota sampling?
• Before completing a survey, an individual acknowledges reading information about how and why the data they provide will be used. What is this concept called?
• ————- is a set of elements taken from a larger population according to certain rules.
• The mean of clusters average is the biased estimator of a population mean when
• Which of the following would usually require the smallest sample size because of efficiency?

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Online Sampling Distribution Quiz with Answers for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. This Online Quiz about Sampling Distributions is also helpful in getting admission to various colleges and Universities. There are 20 Multiple Choice Type Questions from the Sampling and Sampling Distribution Quiz. Let us start with the Sampling Distribution Quiz.

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MCQs Sampling Distribution Quiz with Answers

• The weight of the stratum is equal to the proportion of:
• A group consists of 300 people and we are interviewing all members of a given group called:
• When the procedure of selecting the elements from the population is not based on probability is known as:
• The university has 5000 students belonging to the following classes: (i) 1500 are freshmen, (ii) 1200 are sophomores, (iii) 1400 are juniors, and (iv) 900 are seniors. The university administration wants to get an estimate of all the student’s views on a proposal to help alleviate the parking problem on campus. Suppose, that a sample of 100 students is chosen, what is the required sample size for the freshman stratum under proportional allocation?
• When the sample size increases, everything else remains the same, and the width of a confidence interval for a population parameter will
• The value of $n_2$ by a proportional allocation from the following information is: $N_1=580$, $N_2=140$ and $n=80$.
• Sampling in which a sampling unit can be repeated 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?
• Which one of the following is the benefit of using simple random sampling?
• When sampling is done with or without replacement, $E(\overline{y})$ is equal to
• 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 ———-.
• Stratification is to produce estimators with small
• 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.
• Regardless of the difference in the distribution of the sample and population, the mean of sampling distribution must be equal to
• A procedure in which the number of elements in a stratum is proportional to the number of elements in the population is called
• Consider a population of size 700 consisting of three strata such that $N_1=100, N_2=250$, and $N_3=350$. The required sample size is 18. What will be the sample size for stratum-II according to proportional allocation?
• Consider a population of size 700 consisting of three strata such that $N_1=100, N_2=250$, and $N_3=350$. The required sample size is 18. What will be the sample size for stratum-III according to proportional allocation?

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A sampling distribution depends on several factors:

• The statistic being used: Is the researcher looking at the mean, median, or something else?
• The original population’s distribution: Is the population data normally distributed, skewed, or something else?
• Sample size: Generally, larger samples lead to sampling distributions closer to the actual population distribution.

In conclusion, sampling distributions are vital tools in statistics. Sampling Distributions help us to understand the variability of statistics calculated from samples and make informed inferences about the population from which the samples were drawn.

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.

Please go to Important MCQs Sampling and Sampling Distributions Quiz 10 to view the test

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MCQs Sampling and Sampling Distributions Quiz with Answers

• In stratified random sampling with strata weights 0.35, 0.55, and 0.10, SD 16, 23, and 19, and sample sizes 70, 110, and 20, the variance of the sample mean estimator is?
• Stratified sampling is a type of
• In stratified sampling, a sample drawn randomly from strata is classified as
• Which of the following statements best describes the relationship between a parameter and a statistic?
• The sampling technique that selects every sixteenth person from a community is called
• In sampling with replacement, a sampling unit can be selected
• The standard deviation of a sampling distribution is called
• Choose the sample size $n$ to be the same for all the strata is called
• Stratified sampling is a type of
• Sampling is used in situations
• In which of the following types of sampling the information is carried out under the opinion of an except?
• For sampling, which ONE of the following should be up-to-date, complete, and affordable?
• An unbiased sample is representative of the population being measured. Which of the following helps ensure unbiased sampling?
• Bias in which few respondents respond to the offered questionnaire is classified as
• In systematic sampling, the population of 200, and the selected sample size is 50 then the sampling interval is
• To develop an interval estimate of any parameter of population value which is added or subtracted from point estimate is classified as
• A group consists of 200 people and we are interviewing 60 members at random of a given group is called
• Which of the following would generally require the largest sample size?
• Mrs. Tahir samples her class by selecting 5 girls and 7 boys. This type of sampling is called?
• Which of the following is a type of non-probability sampling

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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.

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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?

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