## Topic outline

• #### INTRODUCTORY BUSINESS STATISTICS COURSE

This comprehensive course contains 13 sections with 74 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. 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