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
Statistical Inference Foundations
Point Estimation
Estimators and Estimates
Properties of Estimators
Unbiasedness
Efficiency
Consistency
Method of Moments
Maximum Likelihood Estimation
Interval Estimation
Confidence Intervals
Confidence Level
Margin of Error
Interpretation of Confidence Intervals
Confidence Intervals for Means
Known Population Variance
Unknown Population Variance
Small Sample Sizes
One-sample Intervals
Two-sample Intervals
Confidence Intervals for Proportions
Single Proportion
Difference in Proportions
Sample Size Requirements
Confidence Intervals for Variance
Chi-squared Distribution
Single Sample Variance
Ratio of Variances
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13. Sampling and Sampling Distributions
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15. Hypothesis Testing Framework