Sampling is a technique to draw samples from a population, that is, Sampling is a process. The sampling distribution is a probability distribution of a statistic (such as mean, variance, proportion, etc.). This category contains posts about sampling and sampling distribution.
Online Sampling Distributions MCQs Quizzes for the preparation of exams and different statistical job tests in Government/ Semi-Government or Private Organization sectors. These Online Quizzes about Sampling are also helpful in getting admission to various colleges and Universities.
Most of the Online MCQs in this post 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.
The Online Quiz Sampling is about the Basics of Sampling and Sampling Distributions. 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.
A sampling distribution depends on several factors:
The statistic being used: Are you 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. They help us 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.
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.
Online MCQs on Sampling Distribution
Convenience sampling is also called:
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?
In sampling with replacement, a sampling unit can be selected:
Sampling technique in which a sampling unit can be repeated (selected) 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?
For sampling, which one of the following should be up-to-date, complete, and affordable?
Interviewing all members of a given population is called
Which one of the following is the benefit of using simple random sampling?
The standard deviation of a sampling distribution is called:
When sampling is done with or without replacement, $E(\overline{y})$ is equal to
Which of the elements are taken from a larger population according to certain rules?
The method of sampling in which the population is divided into mutually exclusive groups that have useful context in statistical research is classified as:
Procedure in which a number of elements is not proportional to a number of elements in the population is classified as:
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 _______.
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:
Who proposed the variance of the sample mean in stratified sampling using proportional allocation?
Stratification is to produce estimators with small:
MCQs on sampling distribution 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 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.
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
MCQ sampling Quiz 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.
