Probability and Statistics MCQ (Multiple Choice Questions)

Probability and Statistics MCQ - Multiple Choice Questions and Answers

Our 1000+ Probability and Statistics MCQs (Multiple Choice Questions and Answers) focuses on all chapters of Probability and Statistics covering 100+ topics. You should practice these MCQs for 1 hour daily for 2-3 months. This way of systematic learning will prepare you easily for Probability and Statistics exams, contests, online tests, quizzes, MCQ-tests, viva-voce, interviews, and certifications.

Probability and Statistics Multiple Choice Questions Highlights

- 1000+ Multiple Choice Questions & Answers (MCQs) in Probability and Statistics with a detailed explanation of every question.
- These MCQs cover theoretical concepts, true-false(T/F) statements, fill-in-the-blanks and match the following style statements.
- These MCQs also cover numericals as well as diagram oriented MCQs.
- These MCQs are organized chapterwise and each Chapter is futher organized topicwise.
- Every MCQ set focuses on a specific topic of a given Chapter in Probability and Statistics Subject.

Who should Practice Probability and Statistics MCQs?

– Students who are preparing for college tests and exams such as mid-term tests and semester tests on Probability and Statistics.
- Students who are preparing for Online/Offline Tests/Contests in Probability and Statistics.
– Students who wish to sharpen their knowledge of Probability and Statistics Subject.
- Anyone preparing for Aptitude test in Probability and Statistics.
- Anyone preparing for interviews (campus/off-campus interviews, walk-in interview and company interviews).
- Anyone preparing for entrance examinations and other competitive examinations.
- All - Experienced, Freshers and College / School Students.

Probability and Statistics Chapters

Here's the list of chapters on the "Probability and Statistics" subject covering 100+ topics. You can practice the MCQs chapter by chapter starting from the 1st chapter or you can jump to any chapter of your choice.

  1. Probability
  2. Probability Distribution
  3. Sampling Distribution
  4. Estimation and Test of Hypothesis
  5. Curve Fitting, Regression and Correlation Analysis
  6. Joint Probability Distribution and Markov Chain

1. Probability

The section contains multiple choice questions and answers on probability set theory, total theorem probability, bayes theorem, counting review, permutations and combinations.

  • Set Theory of Probability – 1
  • Set Theory of Probability – 2
  • Theorem of Total Probability
  • Baye’s Theorem
  • Permutations and Combinations
  • Review of Counting
  • 2. Probability Distribution

    The section contains questions and answers on random variables, probability distribution, mathematical expectation, gamma and weibull distribution, distribution mean and variance, binomial, normal, poisson, hypergeometric and exponential distributions, chebyshev’s theorem, moment generating functions, poisson process, error function, discrete and continuous uniform distributions.

  • Random Variables
  • Random Variables – Set 2
  • Probability Distributions – 1
  • Probability Distributions – 2
  • Probability Distribution – 3
  • Mean and Variance of Distribution
  • Mean and Variance of Distribution – Set 2
  • Mathematical Expectation
  • Binomial Distribution
  • Hypergeometric Distributions
  • Poisson Distribution
  • Normal Distribution
  • Exponential Distribution
  • Gamma Distribution
  • Weibull Distribution
  • Marginalization, Independence, Conditioning and Bayes Rule
  • Chebyshev’s Theorem
  • Moment and Moment Generating Functions
  • Discrete Uniform Distribution
  • Poisson Process
  • Continuous Uniform Distribution
  • Normal Approximation to Binomial Distribution
  • Error Function
  • 3. Sampling Distribution

    The section contains MCQs on sampling distribution, means, variance and proportions of sampling distribution, chi-squared distribution, T and F distribution.

  • Sampling Distribution – 1
  • Sampling Distribution – 2
  • Sampling Distribution of Means
  • Sampling Distribution of Proportions
  • Chi-Squared Distribution
  • F-Distribution
  • Sampling Distribution of Difference and Sums
  • T-Distribution
  • Sampling Distribution of Variance s2
  • 4. Estimation and Test of Hypothesis

    The section contains multiple choice questions and answers on hypothesis testing, hypothesis testing using single population mean, point, interval and bayesian estimation, hypothesis testing using one and two proportions, paired sample t-test, r x c table analysis, fit test goodness and proportions estimation.

  • Testing of Hypothesis
  • Testing of Hypothesis Concerning Single Population Mean
  • Point Estimation
  • Interval Estimation
  • Bayesian Estimation
  • Test of Hypothesis Concerning Two Means
  • Test for One Mean (Small Sample: T-distribution)
  • Small-sample Test Concerning Difference between Two Means
  • Paired-sample t-test
  • Test of Hypothesis: One Proportion: Small Samples
  • Test of Hypothesis: One Proportion: Large Samples
  • Test of Hypothesis: Two Proportions
  • Test of Hypothesis for Several Proportions
  • Analysis of r x c Tables (Contingency Tables)
  • Goodness of Fit Test
  • Estimation of Proportions
  • 5. Curve Fitting, Regression and Correlation Analysis

    The section contains questions and answers on curve fitting, regression and correlation analysis, least square estimation inferences, curvilinear or nonlinear regression, linear and non-linear weighted least squares approximation, multiple regression, biveriat frequency distribution, rank or spearman’s correlation.

  • Curve Fitting
  • Regression Analysis
  • Inferences Based on the Least square Estimation
  • Curvilinear (or Nonlinear) Regression
  • Curve Fitting by a Sum of Exponentials
  • Linear Weighted Least Squares Approximation
  • Non-linear Weighted Least Squares Approximation
  • Multiple Regression
  • Correlation Analysis
  • Rank Correlation or Spearman’s Correlation
  • Correlation for Biveriat Frequency Distribution
  • 6. Joint Probability Distribution and Markov Chain

    The section contains MCQs on joint probability distribution and markov chain.

  • Joint Probability Distribution
  • Markov Chain
  • If you would like to learn "Probability and Statistics" thoroughly, you should attempt to work on the complete set of 1000+ MCQs - multiple choice questions and answers mentioned above. It will immensely help anyone trying to crack an exam or an interview.

    Wish you the best in your endeavor to learn and master Probability and Statistics!

    Manish Bhojasia - Founder & CTO at Sanfoundry
    Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

    Subscribe to his free Masterclasses at Youtube & discussions at Telegram SanfoundryClasses.