Best Online Probability Quizzes

This post contains MCQs about Online Probability Quiz, events, experiments, mutually exclusive events, collectively exhaustive events, sure events, impossible events, addition and multiplication laws of probability, etc. Let us start the MCQs Online Probability Quiz:

Online Probability Quiz

Probability MCQs Questions 12Probability Quiz Online 11MCQs Probability Quiz 10
MCQs Probability 09MCQS Probability 08MCQs Probability 07
MCQs Probability 06MCQs Probability 05MCQs Probability 04
MCQs Probability 03MCQs Probability 02MCQs Probability 01
Online Quiz Probability

Probability is concerned with how events are likely to occur. It is a way of assigning a numerical value between 0 (impossible event) and 1 (sure event) to represent the chance of something happening. The higher the probability, the more likely the event.

Online Probability Quiz

Some of the important probability terms:

  • Event: An event is any outcome or set of outcomes from a random experiment.
  • Favorable Outcome: An outcome that satisfies the event one is interested in.
  • Independent Events: Events are considered independent if the outcome of one event does not affect the probability of the other event. For example, outcomes from Rolling a die and flipping a coin are independent events.
  • Dependent Events: Events are said to be dependent if the outcome of one affects the probability of the other. For example, drawing a card from a standard deck of cars and then drawing another card without replacing the first one is an example of dependent events.
Online Probability Quiz Central Limit Theorem

Probability and its computations are performed in many fields, including statistics, finance, gambling, and even artificial intelligence. Probability is a fundamental tool for making predictions and analyzing data under uncertainty.

R Frequently Asked Questions

MCQs for Statistics with Answers

This quiz post contains Online MCQs for Statistics with answers covering variables and their types, Measures of central tendencies such as mean, median, mode, Weighted mean, data and their types, sources of data, Measures of Dispersion/ Variation, Standard Deviation, Variance, Range, etc.

Online MCQs for Statistics with Answers

https://itfeature.com

If you found that any POSTED MCQ is/ are WRONG
PLEASE COMMENT below the MCQ with the CORRECT ANSWER and its DETAILED EXPLANATION.

Don’t forget to mention the MCQs Statement (or Screenshot), because MCQs and their answers are generated randomly

Basic statistics deals with the measure of central tendency (such as mean, median, mode, weighted mean, geometric mean, and Harmonic mean) and measures of dispersion (such as range, standard deviation, and variances).

Basic statistical methods include planning and designing the study, collecting data, arranging it, and numerically and graphically summarizing the collected data.

Basic statistics are also used to perform statistical analysis to draw meaningful inferences. Basic statistics are used to extract useful information from the data. The extracted information may be useful for decision-making purposes.

MCQs for Statistics with Answers

A basic visual inspection of data using some graphical and numerical statistics may give some useful hidden information already available in the data. The graphical representation includes a bar chart, pie chart, dot chart, box plot, histogram, frequency polygon, scatter diagram, stem and leaf plot, cumulative frequency curve, and Pareto Chart, etc.

Companies related to finance, communication, manufacturing, charity organizations, government institutes, simple to large businesses, etc. are all examples that have a massive interest in collecting data and measuring different sorts of statistical findings. This helps them to learn from the past, notice the trends, and plan for the future.

Learn R Programming

Important MCQs on Sampling Distribution Quiz – 8

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.

1. Stratification is to produce estimators with small:

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

5. Interviewing all members of a given population is called

 
 
 
 

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

 
 
 
 

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

 
 
 
 

8. 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:

 
 
 
 

9. 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?

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

15. Convenience sampling is also called:

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

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.

Learn R Language Programming

Online MCQs about Intermediate Mathematics Part II