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
One-Sample Tests
One-Sample t-test
Assumptions
Test Statistic
Degrees of Freedom
Implementation in R
Interpretation
One-Sample z-test
When to Use
Test Statistic
Implementation
One-Sample Proportion Test
Assumptions
Test Statistic
Normal Approximation
Implementation in R
Tests for Variance
Chi-squared Test
Assumptions
Implementation
Nonparametric One-Sample Tests
Sign Test
Wilcoxon Signed-Rank Test
When to Use Nonparametric Tests
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15. Hypothesis Testing Framework
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17. Two-Sample Tests