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High School AP Statistics

Suggested Prerequisites

Algebra 2

Description

Dive into the fascinating world of data exploration and analysis! In this course, you’ll learn how to design and execute studies, uncover hidden patterns through probability and simulation, and make informed decisions using statistical inference. Whether predicting manufacturing errors or analyzing real-world trends, this course equips you with the tools to unravel the mysteries of data.

Module 1: Exploring Data

-Classifying categorical and quantitative variables

-Describing data distributions

-Displaying data for analysis

-Measuring position

-Applying the Normal distribution


Module 2: Exploring Relationships

-Describing scatterplots and correlation

-Calculating and interpreting least-squares regression

-Calculating and interpreting residuals and residual plots

-Determining suitability of models

-Transforming non-linear data


Module 3: Collecting Data

-Describing sampling techniques

-Determining randomness and bias

-Understanding surveys and data collection

-Designing experiments

-Determining correlation versus causation

-Controlling variables and minimizing bias


Module 4: Probability and Random Variables

-Understanding randomness and performing simulations

-Calculating and interpreting probability

-Describing and calculating random variables

-Calculating and interpreting binomial random variables

-Calculating and interpreting geometric random variables

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