## Sampling and Sampling Distribution Quiz – 8

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. 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:

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

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

4. Convenience sampling is also called:

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

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

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

8. 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?

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

10. Stratification is to produce estimators with small:

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

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

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

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

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

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

17. Interviewing all members of a given population is called

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

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

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

The sampling and Sampling Distribution 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.

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.

Most of the MCQs on this page 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.

Quiz another Sampling and Sampling Distribution Online Quiz

## MCQs Pedagogy – 2

Please go to MCQs Pedagogy – 2 to view the test

## Pedagogy – 1

MCQs related to Pedagogy for Preparation. Important and repeated Mcqs of Pedagogy/ Education for test preparation of NTS, KPPSC, FPSC, PPSC, SPSC, CSS, PMS, and Educators Test. These MCQs are also useful for primary school teachers (PST), subject specialists (SST), physical education teachers (PET), Drawing masters, and Arabic teacher tests.

Please go to Pedagogy – 1 to view the test

MCQs about the Design of Experiments

## Chi-Square Association Quiz – 2

The relationship/ dependency between the attributes is called association and the measure of degrees of relationship between the attributes is called the coefficient of association. The Chi-Square Statistic is used to test the association between the attributes. The Chi-Square Association is defined as

$$\chi^2 = \sum \frac{(of_i – ef_i)^2}{ef_i}\sim \chi^2_{v},$$

where $v$ denotes the degrees of freedom

The following is the MCQs Association Test

Please go to Chi-Square Association Quiz – 2 to view the test

A population can be divided into two or more mutually exclusive and exhaustive classes according to their characteristics. It is called dichotomy or twofold division if it is divided into two mutually exclusive classes. A contingency table is a two-way table in which the data is classified according to two attributes, each having two or more levels. A measure of the degree of association between attributes expressed in a contingency table is known as the coefficient of contingency. Pearson’s mean square coefficient of contingency is

$C=\sqrt{\frac{\chi^2}{n+\chi^2}}$

Attributes are said to be independent if there is no association between them. Independence means the presence or absence of one attribute does not affect the other. The association is positive if the observed frequency of attributes is greater than the expected frequency and negative association or disassociation (negative association) is if the observed frequency is less than the expected frequency.

Perform another Non-Parametric Test: MCQs Non-Parametric