The course of Probability and Statistics focuses on curriculum that is an integral part of both probability and statistics topics and curriculum in which probability and statistics topics are independent of each other. Probability topics include sample spaces, conditional probability, gamma and beta distributions, while statistics topics include central limit theorem, normal distribution, hypothesis testing, and simple and multiple regression.

We provide comprehensive Probability and Statistics tutoring for students including the following Probability and Statistics topics:

• Bayes Theorem
• Bernoulli Distribution
• Beta Distribution
• Bivariate Distributions
• Bivariate Normal Distribution
• Central Limit Theorem
• Chebyshev’s Theorem
• Chi-Square Distribution
• Coefficient of Determination
• Conditional Probability
• Confidence Intervals
• Contingency Tables
• Continuity Correction
• Continuous Distributions
• Counting Method
• Covariance and Correlation
• Cumulative Distributions
• Discrete Distributions
• Exponential Distribution
• F-Distribution
• Finite Sample Spaces
• Gamma Distribution
• Goodness of Fitness Test
• Hypergeometric Distribution
• Hypothesis Testing
• Intersection of Events
• Kolmogorov-Smirnov Tests
• Markov Chains
• Maximum Likelihood Estimators
• Mean, Median, Mode
• Method of Least Squares
• Moment Generating Functions
• Moments
• Multinomial Coefficients
• Multivariate Distributions
• Nonparametric Statistics
• Normal Distribution
• One-Way ANOVA
• Power of a Test
• Prior and Posterior Distribution
• Quartiles
• Rank Test
• Set Theory
• Sign Test
• Simple Linear Regression
• Standard Deviation and Variance
• T-Distribution
• Two-Way ANOVA
• Type I and Type II Errors
• Union of Events