Description

This class will cover the basic concepts needed to explore and summarize your data like mean, median, standard deviation, and interquartile range. We will go over the basic rules of probability including independence and conditional probability. Descriptive statistics help you understand your data before doing any statistical tests. Probability helps you understand the rules that statistical tests are based on.

The most basic concepts of R programming will be covered last in this class. Those who already have a good grasp of R programming can leave early.

Topics We Will Be Covering:

Statistics Concepts

• Continuous versus categorical variables
• Frequency distributions and Skew
• Measures of central tendency (mean, median, and mode)
• Measures of spread (standard deviation and interquartile range)
• Populations versus Samples
• Probability basics
• Independence
• Mutual exclusivity

R Programming Concepts

• Exporting and Importing Data in R
• Setting Your Working Directory
• R Interface
• Basic Operators
• Installing and Loading Packages

Optional Reading

• From Data Analysis with R by Tony Fischetti
  • Chapter 2, Shape of Data
  • Chapter 4, Probability