MATH 130: Introduction to Statistics

Provides a comprehensive foundation in descriptive and inferential statistical methods applied across medical, social science, and business disciplines. Topics include exploratory data analysis, experimental design, discrete and continuous probability distributions (Binomial, Normal), sampling distributions, central limit theorem, confidence intervals, and one- and two-sample hypothesis tests.

• Probability theory: sample spaces, conditional probability, Bayes' Theorem, and random variables in MATH 130
• Probability distributions: discrete (Binomial, Poisson, Geometric) and continuous (Normal, Uniform, Exponential) models
• Inferential statistics: Central Limit Theorem, confidence interval estimation, and hypothesis testing (t-tests, ANOVA, Chi-Square)
• Regression analysis: simple/multiple linear regression, correlation coefficients, R-squared, and residual diagnostics in Introduction to Statistics