Topics

Learning R
- About R
- Downloading R and Other Tools
- Objects and Types
- Functions
- The Directory and .RData Files
- Packages in R
- Functions and Statistics
  - The names() Function
  - The $ Sign
- Visualizing Data
- Loops
  - For
  - If-Else
- Writing a Function
- Advanced Examples
  - Bootstrap
  - Permutation Test
  - Logistic Regression
  - ARS/SIR

Learning Introductory Statistics
- What is Statistics
- Terminology and Opening Concepts
  - Data Types
- Measures of Central Tendency
  - Mean, median, mode
  - Skewed Distributions
- Measures of Variability
  - Range, Variance, and Standard Deviation
- Normal Distribution
  - What is the normal distribution?
  - Probability and the normal distribution
  - QQ Plot
- Standardization and z Scores
  - Standardizing data
  - Z-scores
  - p-Values
- Confidence Intervals, Null Hypothesis, and Statistical Significance
  - Confidence Intervals
  - Null Hypothesis and Statistical Significance
  - Shapiro-Wilk Test
- Correlation
  - Pearson Correlation Coefficient
  - Other correlation coefficients
- t Distribution
  - The t-distribution
  - t Scores and z Scores
  - Independent Samples t Tests
  - Paired or Dependent t Tests
- The Chi-Square Statistics
  - Chi Square Test

Learning R Packages
- ggplot2
  - What is ggplot2?
  - qplot
  - ggplot

Learning Bayesian Statistics

Learning Survey Statistics