🎲Intro to Statistics Unit 13 Review

13.5 Lab: One-Way ANOVA

🎲Intro to Statistics
Unit 13 Review

13.5 Lab: One-Way ANOVA

Written by the Fiveable Content Team • Last updated September 2025

Written by the Fiveable Content Team • Last updated September 2025

🎲Intro to Statistics

Unit & Topic Study Guides

1.1 Definitions of Statistics, Probability, and Key Terms

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 Experiment

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

2.5 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

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

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 (Dice Experiment Using Three Regular Dice)

5.1 Continuous Probability Functions

5.2 The Uniform Distribution

5.3 The Exponential Distribution

5.4 Continuous 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)

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)

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)

9.1 Null and Alternative Hypotheses

9.2 Outcomes and the Type I and Type II Errors

9.3 Probability 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

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

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

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

12.7 Regression (Distance from School)

12.8 Regression (Textbook Cost)

12.9 Regression (Fuel Efficiency)

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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