Probability and Statistics Questions and Answers

Probability and Statistics Interview Questions and Answers

Our 1000+ Probability and Statistics questions and answers focuses on all areas of Probability and Statistics subject covering 100+ topics in Probability and Statistics. These topics are chosen from a collection of most authoritative and best reference books on Probability and Statistics. One should spend 1 hour daily for 2-3 months to learn and assimilate Probability and Statistics comprehensively. This way of systematic learning will prepare anyone easily towards Probability and Statistics interviews, online tests, examinations and certifications.

Highlights

– 1000+ Multiple Choice Questions & Answers in Probability and Statistics with explanations
– Every MCQ set focuses on a specific topic in Probability and Statistics Subject

Who should Practice these Probability and Statistics Questions?
– Anyone wishing 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 Students

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Here’s list of Questions & Answers on Probability and Statistics Subject covering 100+ topics:

1. Questions & Answers on Probability

The section contains 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. Questions on Probability Distribution

The section contains questions 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.

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Random Variables
Probability Distributions – 1
Probability Distributions – 2
Mean and Variance of Distribution
Mathematical Expectation
Binomial Distribution
Hypergeometric Distributions
Poisson Distribution
Normal Distribution
Exponential Distribution
Gamma Distribution
Weibull Distribution
Chebyshev’s Theorem
Moment and Moment Generating Functions
Discrete Uniform Distribution
Poisson Process
Continuous Uniform Distribution
Normal Approximation to Binomial Distribution
Error Function

3. Questions & Answers on Sampling Distribution

The section contains questions and answers 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. Questions on Estimation and Test of Hypothesis

The section contains questions 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. Questions & Answers on 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.

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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. Questions on Joint Probability Distribution and Markov Chain

The section contains questions 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 questions and answers mentioned above. It will immensely help anyone trying to crack an exam or an interview.

Here’s the list of Best Reference Books in Probability and Statistics.

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

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn