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Statistics
Statistics
1. Introduction to Statistics
2. Data Collection and Sampling
3. Descriptive Statistics: Organizing and Summarizing Data
4. Probability Theory
5. Probability Distributions
6. Sampling Distributions
7. Inferential Statistics: Estimation
8. Inferential Statistics: Hypothesis Testing
9. Analysis of Variance (ANOVA)
10. Correlation and Regression
11. Chi-Square Tests
12. Non-Parametric Statistics
13. Experimental Design
14. Advanced Topics in Statistics
Analysis of Variance (ANOVA)
One-Way ANOVA
Purpose
Comparing Multiple Means
Extension of t-test
Assumptions
Normality
Testing Normality
Robustness
Homogeneity of Variance
Levene's Test
Bartlett's Test
Independence
Random Sampling
Experimental Design
Hypotheses
Null Hypothesis
Alternative Hypothesis
F-Distribution
Use in ANOVA
Degrees of Freedom
ANOVA Table
Sources of Variation
Between Groups
Within Groups
Total
Calculation of Sums of Squares
SSB (Sum of Squares Between)
SSW (Sum of Squares Within)
SST (Total Sum of Squares)
Mean Squares and F-Ratio
MSB (Mean Square Between)
MSW (Mean Square Within)
F-statistic Calculation
Post-Hoc Tests
Need for Multiple Comparisons
Tukey's HSD
Purpose
Calculation
Interpretation
Bonferroni Correction
Scheffé's Method
Two-Way ANOVA
Purpose
Two Factor Analysis
Interaction Effects
Main Effects
Factor A Effects
Factor B Effects
Interaction Effects
Interpretation
Graphical Analysis
Assumptions
Same as One-Way ANOVA
ANOVA Table Structure
Sources of Variation
F-tests for Each Effect
Interpretation of Results
Significant Main Effects
Significant Interactions
Simple Effects Analysis
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10. Correlation and Regression