## STATISTICS OVERVIEW

Interpreting Categorical and Quantitative Data
• Summarize, represent, and interpret data on a single count or measurement variable.
• Summarize, represent, and interpret data on two categorical and quantitative variables.
• Interpret linear models
Making Inferences and Justifying Conclusions
• Understand and evaluate random processes underlying statistical experiments.
• Make inferences and justify conclusions from sample surveys, experiments, and observational studies.

Conditional Probability and the Rules of Probability

• Understand independence and conditional probability and use them to interpret data.
• Use the rules of probability to compute probabilities of compound events in a uniform probability model.

Use Probability to Make Decisions

• Calculate expected values and use them to solve problems.
• Use probability to evaluate outcomes of decisions.
 Mathematical Practices Make sense of problems and persevere in problem solving them. Reason abstractly and quantitatively. Construct viable arguments and critique the reasoning of others. Model with mathematics. Use appropriate tools strategically. Attend to precision. Look for and make use of structure. Look for and express regularity in repeated reasoning.

## Semesters at a Glance

#### Semester 2 (17 weeks)

 Introduction to Statistics (3 weeks)Descriptive Stats for Univarite Data (6 weeks) Probability (4 weeks) Discrete Probability Distribution (3 weeks) Normal Probability Distribution (4 weeks)Confidence Intervals (3 weeks) Hypothesis Testing for one sample (5 weeks) Correlation & Regression (2.5 weeks) Chi-Square Testing (2.5 weeks) Hyp Testing two samples (3 weeks-optional)

### Statistics Overview

 Overview/Critical Areas of Study Statistics Curriculum Guide (one page) Statistics Detailed Mathematics Guide (password protected) Standards for Mathematical Practice in Action Statistics Course Descriptions Statistics Framework

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