Sampling and Sampling distributions

The Online Sampling and Sampling Distribution MCQs 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. Most of the questions in this quiz Sampling and Sampling Distribution MCQs 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 sampling Quiz on this page is 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.

1. If $N$ is the size of the population and $n$ is the sample size, then the sampling fraction is ______

 $n^N$

 $\frac{n}{N}$

 $N^n$

 $\binom{N}{n}$

2. A population contains $N$ items and all possible samples of size $n$ are selected without replacement. The possible number of samples will be

 $\binom{N}{n}$

 $N$

 $n^N$

 $N^n$

3. Non-random sampling is also called ________

 Biased sampling

 Random sampling

 Representative sampling

 Non-probability sampling

4. In sampling without replacement, an element can be chosen

 Only once

 More than once

 Difficult to tell

 Will not be choosen

5. In random sampling, the probability of selecting an item from the population is ______

 Unknown

 Known

 One

 Zero

6. The finite population correction factor is ________

 $\sqrt{\frac{N-n}{N-1}}$

 $\sqrt{\frac{N+n}{N+1}}$

 $\sqrt{\frac{N-n}{n-1}}$

 $\sqrt{\frac{N-1}{N-n}}$

7. What concept states that the sampling distribution of the mean approaches a normal distribution as the sample size increases?

 Bayes’ theorem

 Central limit theorem

 Standard error

 Sampling frame

8. Suppose a finite population has 6 items and 2 items are selected at random without replacement, then all possible samples will be

 36

 12

 6

 15

9. Which of the following are examples of sampling bias? Select all that apply.

 A clinical study includes three times more men than women.

 b) A survey of high-school-age students does not include home schooled students.

 An online marketing analytics firm stores data in a spreadsheet.

 A national election poll only interviews people with college degrees.

10. Random Sampling is also called _______

 Sampling error

 Probability sampling

 Non-Probability sampling

 Random error

11. A population contains 2 items and 4 items are selected at random with replacement, then all possible samples will be

 8

 $\binom{4}{2}$

 16

 4

12. Sampling error is reduced by _______

 Increasing the sample size

 Non-random sampling

 Increasing the population

 Decreasing the sample size

13. A plan for obtaining a sample from a population is called

 Sampling Design

 Population design

 Sampling Frame

 Sampling Distribution

14. Suppose a finite population contains 4 items and 2 items are selected at random with replacement, then how many samples will be there

 4

 10

 8

 6

15. In sampling without replacement, an element can be chosen

 Difficult to tell

 Only once

 Rare to be selected

 More than once

16. Suppose a population has $N$ items and $n$ items are selected with replacement. The number of all possible samples will be

 $n$

 $N^n$

 $\binom{N}{n}$

 $N$

17. Suppose a finite population contains 7 items and 3 items are selected at random without replacement, then all possible samples will be

 14

 21

 7

 35

18. In sampling with replacement, the following is always true __________

 All options

 n = N

 n < N

 n > N

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

 The expense

 The results are never representative

 Human Judgement Error

 Informants can refuse to participate

20. In sampling with replacement, the standard error of $\overline{X}$ is equal to

 $\frac{\sigma}{\sqrt{n}} \sqrt{\frac{N-n}{N-1}}$

 $\frac{\sigma}{\sqrt{n}}$

 $\frac{\sigma^2}{n}$

 $\frac{\sigma}{\sqrt{n}} \frac{n}{N}$

 Loading …

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

Sampling and Sampling Distribution MCQs

• In sampling without replacement, an element can be chosen
• In sampling with replacement, the following is always true _________
• Suppose a finite population has 6 items and 2 items are selected at random without replacement, then all possible samples will be
• Suppose a finite population contains 7 items and 3 items are selected at random without replacement, then all possible samples will be
• A population contains $N$ items and all possible samples of size $n$ are selected without replacement. The possible number of samples will be
• Suppose a finite population contains 4 items and 2 items are selected at random with replacement, then how many samples will be there
• A population contains 2 items and 4 items are selected at random with replacement, then all possible samples will be
• Suppose a population has $N$ items and $n$ items are selected with replacement. The number of all possible samples will be
• In random sampling, the probability of selecting an item from the population is _________.
• Random Sampling is also called ___________.
• Non-random sampling is also called
• Sampling error is reduced by
• If $N$ is the size of the population and $n$ is the sample size, then the sampling fraction is ________
• The finite population correction factor is ____________
• In sampling with replacement, the standard error of $\overline{X}$ is equal to
• What concept states that the sampling distribution of the mean approaches a normal distribution as the sample size increases?
• Which of the following are examples of sampling bias? Select all that apply.
• A plan for obtaining a sample from a population is called
• In sampling without replacement, an element can be chosen
• Which one of the following is the main problem with using non-probability sampling techniques?

The important points about Sampling and Sampling Distributions are:

• The shape of the sampling distribution depends on the underlying population distribution, the statistic being calculated (mean, median, etc.), and the sample size.
• Larger sample sizes tend to produce sampling distributions that are more normally distributed (bell-shaped and symetrical), regardless of the population distribution due to the Central Limit Theorem.
• The sampling distribution is used to make inferences about the population from which the sample was drawn. For example, we can estimate the population mean by looking at the average of the sample means from many samples.

By understanding the concepts and theories about sampling and sampling distributions, one can make informed decisions based on the data collected from samples, even though one can not easily study the entire population.

Learning R Language and Data Analysis

Online Multiple Choice Questions Test Website

The sampling Quiz in this post covers the MCQs related to 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 Best Sampling Quiz – 4 to view the test

Online Sampling Quiz with Answers

• A sample is a subset of
• A list of all the units of the population is called
• Any calculation on the sample data is called
• Any measure of the population is called
• The difference between a statistic and the parameter is called
• The probability distribution of a statistic is called
• The standard deviation of the sampling distribution of a statistic is called
• If we obtain a point estimate $\overline{X}$ for a population mean $\mu$, the difference between $\overline{X}$ and $\mu$ is called
• A distribution formed by all possible values of a statistic is called
• In probability sampling, the probability of selecting an item from the population is known and is
• A population about which we want to get some information is called
• The study of population is called
• To make a voter list in Pakistan we need
• Sampling-based on equal probability is called
• In sampling with replacement, an element can be chosen
• A company is trying to learn more about their customer base. They would like to survey to understand why their customers chose their brand. How should the company survey its customers?
• A high school principal is estimating the total number of students that will attend an upcoming event. She assumes that the older students are unlikely to attend and decides to only survey the first-year students. What issue will the principal face when calculating her estimation?
• A clothing manufacturer wants to learn more about why their consumers have purchased the brand’s products. How should this manufacturer conduct their survey?
• What is a standard error?
• A data professional is analyzing data about a population of aspen trees. They take repeated random samples of 10 trees from the population and compute the mean height for each sample. Which of the following statements best describes the sampling distribution of the mean?

The sampling Quiz 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.

Computer MCQs

R and Data Analysis