## Topic outline

- INTRODUCTORY BUSINESS STATISTICS COURSEINTRODUCTORY 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 DataSampling and Data
- Understand the terms in the mathematical theory of statistics

1.2. Data, Sampling, and Variation in Data and Sampling

1.3. Levels of Measurement

1.4. Experimental Design and EthicsClick the link above to get the access codes and instructions to add this trial course to your LMS.

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- Sampling and Data - Final AssessmentSampling and Data - Final Assessment
This is the final assessment for

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The full course includes all 74 lessons, including 13 Final Assessments with Instructor Answer Keys.

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- Descriptive StatisticsDescriptive 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 TopicsProbability 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 VariablesDiscrete Random Variables
4.1. Hypergeometric Distribution

4.2. Binomial Distribution

4.3. Geometric Distribution

4.4. Poisson Distribution

Final Assessment - Continuous Random VariablesContinuous Random Variables
5.1. Properties of Continuous Probability Density Functions

5.2. The Uniform Distribution

5.3. The Exponential Distribution

Final Assessment - The Normal DistributionThe 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 TheoremThe 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 IntervalsConfidence 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 SampleHypothesis 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 SamplesHypothesis 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 DistributionThe 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 ANOVAF Distribution and One-Way ANOVA12.1. Test of Two Variances12.2. One-Way ANOVA12.3. The F Distribution and the F-Ratio12.4. Facts About the F Distribution
Final Assessment

- Linear Regression and CorrelationLinear 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

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