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• 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 - Final Assessment

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

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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