Topic outline

  • INTRODUCTORY STATISTICS COURSE


    This comprehensive course contains 13 sections with 93 self-grading lessons, including final assessments. The first section is available to try for free.

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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. Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs
        2.2. Histograms, Frequency Polygons, and Time Series Graphs
        2.3. Measures of the Location of the Data
        2.4. Box Plots
        2.5. Measures of the Center of the Data
        2.6. Skewness and the Mean, Median, and Mode
        2.7. Measures of the Spread of the Data
        2.8. Descriptive Statistics
        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
          3.5. Tree and Venn Diagrams
          3.6. Probability Topics
          Final Assessment

          • Discrete Random Variables


            4.1. Probability Distribution Function (PDF) for a Discrete Random Variable
            4.2. Mean or Expected Value and Standard Deviation
            4.3. Binomial Distribution
            4.4. Geometric Distribution
            4.5. Hypergeometric Distribution
            4.6. Poisson Distribution
            4.7. Discrete Distribution (Playing Card Experiment)
            4.8. Discrete Distribution (Lucky Dice Experiment)
            Final Assessment

            • Continuous Random Variables


              5.1. Continuous Probability Functions
              5.2. The Uniform Distribution
              5.3. The Exponential Distribution
              5.4. Continuous Distribution
              Final Assessment

              • The Normal Distribution


                6.1. The Standard Normal Distribution
                6.2. Using the Normal Distribution
                6.3. Normal Distribution (Lap Times)
                6.4. Normal Distribution (Pinkie Length)
                Final Assessment

                • The Central Limit Theorem


                  7.1. The Central Limit Theorem for Sample Means (Averages)
                  7.2. The Central Limit Theorem for Sums
                  7.3. Using the Central Limit Theorem
                  7.4. Central Limit Theorem (Pocket Change)
                  7.5. Central Limit Theorem (Cookie Recipes)
                  Final Assessment

                  • Confidence Intervals


                    8.1. A Single Population Mean using the Normal Distribution
                    8.2. A Single Population Mean using the Student t Distribution
                    8.3. A Population Proportion
                    8.4. Confidence Interval (Home Costs)
                    8.5. Confidence Interval (Place of Birth)
                    8.6. Confidence Interval (Women's Heights)
                    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. Rare Events, the Sample, Decision and Conclusion
                      9.5. Additional Information and Full Hypothesis Test Examples
                      9.6. Hypothesis Testing of a Single Mean and Single Proportion
                      Final Assessment

                      • Hypothesis Testing with Two Samples


                        10.1. Two Population Means with Unknown Standard Deviations
                        10.2. Two Population Means with Known Standard Deviations
                        10.3. Comparing Two Independent Population Proportions
                        10.4. Matched or Paired Samples
                        10.5. Hypothesis Testing for Two Means and Two Proportions
                        Final Assessment

                        • The Chi-Square Distribution


                          11.1. Facts About the Chi-Square Distribution
                          11.2. Goodness-of-Fit Test
                          11.3. Test of Independence
                          11.4. Test for Homogeneity
                          11.5. Comparison of the Chi-Square Tests
                          11.6. Test of a Single Variance
                          11.7. Lab 1: Chi-Square Goodness-of-Fit
                          11.8. Lab 2: Chi-Square Test of Independence
                          Final Assessment

                          • Linear Regression and Correlation


                            12.1. Linear Equations
                            12.2. Scatter Plots
                            12.3. The Regression Equation
                            12.4. Testing the Significance of the Correlation Coefficient
                            12.5. Prediction
                            12.6. Outliers
                            12.7. Regression (Distance from School)
                            12.8. Regression (Textbook Cost)
                            12.9. Regression (Fuel Efficiency)
                            Final Assessment

                            • F Distribution and One-Way ANOVA


                              13.1. One-Way ANOVA
                              13.2. The F Distribution and the F-Ratio
                              13.3. Facts About the F Distribution
                              13.4. Test of Two Variances
                              13.5. Lab: One-Way ANOVA
                              Final Assessment

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