Useful Links
Statistics
Statistics with R
1. Introduction to R and Statistical Computing
2. R Fundamentals and Basic Operations
3. R Package System
4. R Data Structures
5. Data Import and Export
6. Data Cleaning and Preprocessing
7. Data Manipulation with dplyr
8. Descriptive Statistics
9. Data Visualization Fundamentals
10. Advanced Data Visualization with ggplot2
11. Probability Theory
12. Probability Distributions
13. Sampling and Sampling Distributions
14. Statistical Inference Foundations
15. Hypothesis Testing Framework
16. One-Sample Tests
17. Two-Sample Tests
18. Chi-squared Tests
19. Analysis of Variance (ANOVA)
20. Correlation Analysis
21. Simple Linear Regression
22. Regression Diagnostics
23. Multiple Linear Regression
24. Generalized Linear Models
25. Nonparametric Statistics
26. Introduction to Time Series Analysis
27. Introduction to Machine Learning
28. Reproducible Research
29. Statistical Computing Best Practices
Chi-squared Tests
Goodness-of-Fit Test
Purpose and Applications
Expected vs Observed Frequencies
Test Statistic
Degrees of Freedom
Assumptions
Implementation in R
Test of Independence
Contingency Tables
Expected Frequencies
Test Statistic
Degrees of Freedom
Implementation in R
Measures of Association
Test of Homogeneity
Purpose and Applications
Comparison with Independence Test
Implementation
Fisher's Exact Test
When to Use
Small Sample Sizes
Implementation in R
Previous
17. Two-Sample Tests
Go to top
Next
19. Analysis of Variance (ANOVA)