#### INTRODUCTORY STATISTICS COURSE

This comprehensive course contains 13 sections with 71 self-grading lessons, including final assessments. The first section is available to try for free.

The Trial Blending Space is for evaluation purposes only.

- INTRODUCTORY STATISTICS COURSEINTRODUCTORY STATISTICS COURSE
This comprehensive course contains 13 sections with 71 self-grading lessons, including final assessments. The first section is available to try for free.

This Trial Site is for evaluation purposes and for trying out in your LMS only. User names will be visible to everyone using it, so don't use this trial site with real students or for actual assignments! To view each lesson, POP-UPs MUST BE ENABLED in your browser. - Sampling and DataSampling and Data
- Understand the terms in the mathematical theory of statistics

- Apply various types of sampling methods to data collection.

- Create and interpret frequency tables.

- Understand the important aspects of experimental design.

- Sampling and Data - Final Assessment
#### Sampling and Data - Final Assessment

This is the final assessment for

. (Available when you subscribe.)*Sampling and Data* - TEACHERS: Subscribe to the FULL COURSE today!This topic
#### TEACHERS: Subscribe to the FULL COURSE today!

The full course includes all 71 lessons, including 13 Final Assessments with Instructor Answer Keys.

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Subscribe today for just $199 per year.*Teacher License*.**There is no cost to students.**Institutions can purchase access to our courses through our BLENDING EDUCATION Microlearning Library App. Learn more. - Descriptive Statistics
#### 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

Final Assessment - Probability Topics
#### 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

Final Assessment - Discrete Random Variables
#### 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

Final Assessment - Continuous Random Variables
#### Continuous Random Variables

5.1. Continuous Probability Functions

5.2. The Uniform Distribution

5.3. The Exponential Distribution

Final Assessment - The Normal Distribution
#### The Normal Distribution

6.1. The Standard Normal Distribution

6.2. Using the Normal Distribution

Final Assessment - The Central Limit Theorem
#### 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

Final Assessment - Confidence Intervals
#### 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

Final Assessment - Hypothesis Testing with One Sample
#### 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

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

Final Assessment - The Chi-Square Distribution
#### 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

Final Assessment - Linear Regression and Correlation
#### 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

Final Assessment - F Distribution and One-Way ANOVA
#### 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

Final Assessment - TEACHERS: Subscribe for just $199 per year
#### TEACHERS: Subscribe for just $199 per year

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