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Category: Sampling and Sampling distributions

Sampling and Sampling distributions

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MCQs Sampling and Sampling Distribution – 5

MCQs sampling 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.

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

 
 
 
 

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

 
 
 
 

3. Random Sampling is also called _______

 
 
 
 

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

 
 
 
 

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

 
 
 
 

6. Sampling error is reduced by _______

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

10. Non-random sampling is also called ________

 
 
 
 

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

 
 
 
 

12. The finite population correction factor is ________

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

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 and Sampling distributions

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Sampling Quiz -4

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.

Please go to Sampling Quiz -4 to view the test
Sampling and Sampling Distribution Quiz

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.

Take another quiz: Sampling MCQs

Sampling and Sampling distributions

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Probability and Non-Probability Sampling

In probability, each unit of the population has a known (non-zero) probability of being included in the sample, and samples are selected randomly by using some random selection method. That’s why probability sampling may also be called random sampling. In probability sampling reliability of the estimates can be determined. In probability sampling, samples are selected without any interest. The advantage of probability sampling is that it provides a valid estimate of sampling error. Probability sampling is widely used in various areas such as industry, agriculture, business sciences, etc.

Important types of probability sampling are

  • Simple Random Sampling
  • Stratified Random Sampling
  • Systematic Sampling
  • Cluster Sampling

Non-probability sampling

In this sampling technique samples are selected by personal judgment due to this personal judgment in the selection of sample bias may include which makes the result unrepresentative. This sampling technique may also be called non-random sampling. The disadvantage of non-probability is that the reliability of the estimates cannot be determined.

The Non-Probability Samplings are:

  • Purposive sampling
  • Quota sampling
  • Judgement sampling
  • Snowball sampling
  • Convenience sampling

Differences between Probability and Non-Probability Sampling

The difference between these two is that non-probability sampling does not involve random selection of objects while in probability sampling objects are selected by using some random selection method. In other words, it means that non-probability samples aren’t representative of the population, but it is not necessary. But it may mean that non-probability samples cannot depend upon the rationale of probability theory.

In general, researchers may prefer probabilistic or random sampling methods over a non-probabilistic sampling method, and consider them to be more accurate and rigorous.  However, in applied social sciences, for researchers, there may be circumstances where it is not possible to obtain sampling using some probability sampling methods. Even practical or theoretically it may not be sensible to do random sampling. Therefore a wide range of non-probability sampling methods may be considered, in these circumstances.

Probability and Non-Probability Sampling

Read More about Sampling Basics

Sampling and Sampling distributions

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Sampling Basics and Objectives

It is often required to collect information from the data. These two methods for collecting the required information. Here we will discuss the Basics of Sampling

  • Complete information
  • Sampling

Complete Information

In this method, the required information is collected from each and every individual of the population. This method is used when it is difficult to draw some conclusion (inference) about the population on the basis of sample information. This method is costly and time-consuming. This method of getting data also called Complete Enumeration or Population Census.

What is Sampling?

Sampling is the most common and widely used method of collecting information. In this method instead of studying the whole population only a small part of the population is selected and studied and the result is applied to the whole population. For example, a cotton dealer picked up a small quantity of cotton from the different bale in order to know the quality of the cotton.

Purpose or objective of sampling

Two basic purposes of sampling are

  1. To obtain the maximum information about the population without examining each and every unit of the population.
  2. To find the reliability of the estimates derived from the sample, which can be done by computing the standard error of the statistic.

Advantages of sampling over Complete Enumeration

  1. It is a much cheaper method to collect the required information from the sample as compared to complete enumeration as lesser units are studied in the sample rather than the population.
  2. From a sample, the data can be collected more quickly and save time a lot.
  3. Planning for sample surveys can be done more carefully and easily as compared to complete enumeration.
  4. Sampling is the only available method of collecting the required information when the population object/ subject or individual in the population are of destructive nature.
  5. Sampling is the only available method of collecting the required information when the population is infinite or large enough.
  6. The most important advantage of sampling is that it provides the reliability of the estimates.
  7. Sampling is extensively used to obtain some of the census information.

That’s all about Basics of Sampling.

For further reading visit: Sampling Theory and Reasons to Sample

Basic Sampling
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