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
Analysis of Variance (ANOVA)
ANOVA Concepts
Purpose of ANOVA
Between-group vs Within-group Variation
F-statistic
ANOVA Table
One-Way ANOVA
Assumptions
Independence
Normality
Homogeneity of Variance
Hypothesis Testing
Implementation in R
Interpretation of Results
ANOVA Diagnostics
Residual Analysis
Normality Tests
Homogeneity Tests
Outlier Detection
Post-Hoc Tests
Multiple Comparisons Problem
Tukey's HSD
Bonferroni Correction
Scheffe's Test
Dunnett's Test
Two-Way ANOVA
Main Effects
Interaction Effects
Factorial Design
Implementation in R
Interpretation
Repeated Measures ANOVA
Within-subjects Design
Sphericity Assumption
Implementation
Nonparametric ANOVA
Kruskal-Wallis Test
Friedman Test
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18. Chi-squared Tests
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20. Correlation Analysis