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  • Sampling and Data

  • Sampling and Data - Final Assessment

    This is the final assessment for Sampling and Data. (Available when you subscribe.)

    • This topic

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      • Descriptive Statistics

        2.1. Display Data
        2.2. Measures of the Location of the Data
        2.3. Measures of the Center of the Data
        2.4. Sigma Notation and Calculating the Arithmetic Mean
        2.5. Geometric Mean
        2.6. Skewness and the Mean, Median, and Mode
        2.7. Measures of the Spread of the Data
        Final Assessment

        • Probability Topics

          3.1. Terminology
          3.2. Independent and Mutually Exclusive Events
          3.3. Two Basic Rules of Probability
          3.4. Contingency Tables and Probability Trees
          3.5. Venn Diagrams
          Final Assessment

          • Discrete Random Variables

            4.1. Hypergeometric Distribution
            4.2. Binomial Distribution
            4.3. Geometric Distribution
            4.4. Poisson Distribution
            Final Assessment

            • Continuous Random Variables

              5.1. Properties of Continuous Probability Density Functions
              5.2. The Uniform Distribution
              5.3. The Exponential Distribution
              Final Assessment

              • The Normal Distribution

                6.1. The Standard Normal Distribution
                6.2. Using the Normal Distribution
                6.3. Estimating the Binomial with the Normal Distribution
                Final Assessment

                • The Central Limit Theorem

                  7.1. The Central Limit Theorem for Sample Means
                  7.2. Using the Central Limit Theorem
                  7.3. The Central Limit Theorem for Proportions
                  7.4. Finite Population Correction Factor
                  Final Assessment

                  • Confidence Intervals

                    8.1. A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size
                    8.2. A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case
                    8.3. A Confidence Interval for A Population Proportion
                    8.4. Calculating the Sample Size n: Continuous and Binary Random Variables
                    Final Assessment

                    • Hypothesis Testing with One Sample

                      9.1. Null and Alternative Hypotheses
                      9.2. Outcomes and the Type I and Type II Errors
                      9.3. Distribution Needed for Hypothesis Testing
                      9.4. Full Hypothesis Test Examples
                      Final Assessment

                      • Hypothesis Testing with Two Samples

                        10.1. Comparing Two Independent Population Means
                        10.2. Cohen's Standards for Small, Medium, and Large Effect Sizes
                        10.3. Test for Differences in Means: Assuming Equal Population Variances
                        10.4. Comparing Two Independent Population Proportions
                        10.5. Two Population Means with Known Standard Deviations
                        10.6. Matched or Paired Samples
                        Final Assessment

                        • The Chi-Square Distribution

                          11.1. Facts About the Chi-Square Distribution
                          11.2. Test of a Single Variance
                          11.3. Goodness-of-Fit Test
                          11.4. Test of Independence
                          11.5. Test for Homogeneity
                          11.6. Comparison of the Chi-Square Tests
                          Final Assessment

                          • F Distribution and One-Way ANOVA

                            12.1. Test of Two Variances
                            12.2. One-Way ANOVA
                            12.3. The F Distribution and the F-Ratio
                            12.4. Facts About the F Distribution

                            Final Assessment

                            • Linear Regression and Correlation

                              13.1. The Correlation Coefficient r
                              13.2. Testing the Significance of the Correlation Coefficient
                              13.3. Linear Equations
                              13.4. The Regression Equation
                              13.5. Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation
                              13.6. Predicting with a Regression Equation
                              13.7. How to Use Microsoft Excel® for Regression Analysis
                              Final Assessment

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