Statistics with R

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