Useful Links
1. Introduction to Social Statistics
2. Fundamental Concepts
3. Data Collection Methods
4. Sampling Techniques
5. Data Management and Preparation
6. Descriptive Statistics: Univariate Analysis
7. Foundations of Inferential Statistics
8. Estimation and Confidence Intervals
9. Hypothesis Testing
10. Testing for Differences Between Means
11. Analysis of Categorical Data
12. Bivariate Correlation and Regression
13. Multivariate Regression
14. Advanced Topics in Social Statistics
15. Communicating Statistical Results
  1. Statistics

Social Statistics

1. Introduction to Social Statistics
2. Fundamental Concepts
3. Data Collection Methods
4. Sampling Techniques
5. Data Management and Preparation
6. Descriptive Statistics: Univariate Analysis
7. Foundations of Inferential Statistics
8. Estimation and Confidence Intervals
9. Hypothesis Testing
10. Testing for Differences Between Means
11. Analysis of Categorical Data
12. Bivariate Correlation and Regression
13. Multivariate Regression
14. Advanced Topics in Social Statistics
15. Communicating Statistical Results
  1. Hypothesis Testing
    1. Logic of Hypothesis Testing
      1. Statistical vs. Practical Significance
        1. Null Hypothesis
          1. Alternative Hypothesis
            1. One-Tailed vs. Two-Tailed Tests
            2. Steps in Hypothesis Testing
              1. Stating Hypotheses
                1. Setting Significance Level
                  1. Choosing Test Statistic
                    1. Determining Critical Values
                      1. Making Statistical Decision
                        1. Drawing Conclusions
                        2. P-Value Approach
                          1. Definition of P-Value
                            1. Calculating P-Values
                              1. Interpreting P-Values
                                1. P-Value vs. Critical Value Approach
                                2. Errors in Hypothesis Testing
                                  1. Type I Error
                                    1. Definition and Consequences
                                      1. Alpha Level
                                      2. Type II Error
                                        1. Definition and Consequences
                                          1. Beta Level
                                          2. Relationship Between Type I and Type II Errors
                                            1. Statistical Power
                                              1. Definition of Power
                                                1. Factors Affecting Power
                                                  1. Power Analysis
                                                    1. Effect Size

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                                                8. Estimation and Confidence Intervals

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                                                10. Testing for Differences Between Means

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