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.
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.
