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Module 4 - Inferences and Conclusions from Data
Module 4---Assessments
Topic A---Lesson 1: Chance Experiments, Sample Spaces, and Events
Topic A---Lesson 2: Calculating Probabilities of Events Using Two-Way Tables
Topic A---Lesson 3: Calculating Conditional Probabilities and Evaluating Independence Using Two-Way
Topic A---Lesson 4: Calculating Conditional Probabilities and Evaluating Independence Using Two-Way
Topic A---Lesson 5: Events and Venn Diagrams
Topic A---Lesson 6: Probability Rules
Topic A---Lesson 7: Probability Rules
Topic B---Lesson 8: Distributions?Center, Shape, and Spread
Topic B---Lesson 9: Using a Curve to Model a Data Distribution
Topic B---Lesson 10: Normal Distributions
Topic B---Lesson 11: Normal Distributions
Topic C---Lesson 12: Types of Statistical Studies
Topic C---Lesson 13: Using Sample Data to Estimate a Population Characteristic
Topic C---Lesson 14: Sampling Variability in the Sample Proportion
Topic C---Lesson 15: Sampling Variability in the Sample Proportion
Topic C---Lesson 16: Margin of Error When Estimating a Population Proportion
Topic C---Lesson 17: Margin of Error When Estimating a Population Proportion
Topic C---Lesson 18: Sampling Variability in the Sample Mean
Topic C---Lesson 19: Sampling Variability in the Sample Mean
Topic C---Lesson 20: Margin of Error When Estimating a Population Mean
Topic C---Lesson 21: Margin of Error When Estimating a Population Mean
Topic C---Lesson 22: Evaluating Reports Based on Data from a Sample
Topic D---Lesson 23: Experiments and the Role of Random Assignment
Topic D---Lesson 24: Differences Due to Random Assignment Alone
Topic D---Lesson 25: Ruling Out Chance
Topic D---Lesson 26: Ruling Out Chance
Topic D---Lesson 27: Ruling Out Chance
Topic D---Lesson 28: Drawing a Conclusion from an Experiment
Topic D---Lesson 30: Evaluating Reports Based on Data from an Experiment