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Unit 4: Module 4: Inferences and conclusions from data

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"Students build a formal understanding of probability, considering complex events such as unions, intersections, and complements as well as the concept of independence and conditional probability. The idea of using a smooth curve to model a data distribution is introduced along with using tables and technology to find areas under a normal curve. Students make inferences and justify conclusions from sample surveys, experiments, and observational studies. Data is used from random samples to estimate a population mean or proportion. Students calculate margin of error and interpret it in context. Given data from a statistical experiment, students use simulation to create a randomization distribution and use it to determine if there is a significant difference between two treatments." Eureka Math/EngageNY (c) 2015 GreatMinds.org

Topic A: Lessons 2-4: Two-way tables, conditional probability, and independence

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Topic A: Lessons 5-7: Venn diagrams and probability rules

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Topic B: Lesson 8: Distributions—Center, shape, and spread

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Topic B: Lesson 9: Using a curve to model a data distribution

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Topic B: Lessons 10-11: Normal distributions

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Topic C: Lesson 13: Using sample data to estimate a population characteristic

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Topic D: Lesson 30: Evaluating reports based on data from an experiment

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