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Statistics
Statistical Inference
1. Foundations of Statistical Inference
2. Sampling and Sampling Distributions
3. Point Estimation
4. Interval Estimation and Confidence Intervals
5. Hypothesis Testing Framework
6. One-Sample Parametric Tests
7. Two-Sample Parametric Tests
8. Categorical Data Analysis
9. Analysis of Variance (ANOVA)
10. Simple Linear Regression Inference
11. Introduction to Bayesian Inference
12. Non-parametric Methods
Two-Sample Parametric Tests
Comparing Two Population Means
Independent Samples t-Test
Assumptions and Conditions
Equal Variances Assumed
Pooled Variance Estimator
Degrees of Freedom
Test Statistic
Unequal Variances (Welch's t-Test)
Separate Variance Estimator
Satterthwaite Approximation
Degrees of Freedom Calculation
Testing for Equal Variances
F-Test for Equal Variances
Levene's Test
Paired Samples t-Test
When to Use Paired Design
Assumptions and Conditions
Test Statistic for Mean Difference
Advantages of Pairing
Procedure and Examples
Comparing Two Population Proportions
Two-Sample Z-Test for Proportions
Independent Samples
Pooled Proportion Estimator
Test Statistic and Distribution
Assumptions and Conditions
Fisher's Exact Test
When to Use
Exact P-value Calculation
Small Sample Considerations
Comparing Two Population Variances
F-Test for Equal Variances
Assumptions and Conditions
Test Statistic and Distribution
Two-Tailed vs One-Tailed Tests
Sensitivity to Normality
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6. One-Sample Parametric Tests
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8. Categorical Data Analysis