## Topic outline

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

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

1.3. Frequency, Frequency Tables, and Levels of Measurement

1.4. Experimental Design and Ethics

1.5. Data Collection Experiment

1.6. Sampling ExperimentClick 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

. (Available when you subscribe.)*Sampling and Data* - Subscribe & Try the FULL COURSE FREE for 14 days!This topicSubscribe & Try the FULL COURSE FREE for 14 days!
The full course includes all 93 lessons, including 13 Final Assessments with Instructor Answer Keys.

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- Descriptive StatisticsDescriptive 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 TopicsProbability 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 VariablesDiscrete 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 VariablesContinuous 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 DistributionThe 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 TheoremThe 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 IntervalsConfidence 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 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. 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 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 DistributionThe 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 CorrelationLinear 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 ANOVAF 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

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