The topics of this course are: Introduction to R, Data Basics and Data Collection Principles, Numerical and Graphical Description of a Single Variable, Scatterplots, Least Squares Regression, Contingency Tables, Basic Probability Theory, Bayes’ Rule, Discrete Random Variable, Binomial Random Variable, Continuous Random Variable, Normal Random Variable, Sampling Distributions, Confidence Intervals, Hypothesis Testing, Connection between Testing and Estimation, Comparing two Means, Estimating and Testing a Single Proportion, Comparing two Proportions.