# High School AP Statistics

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Suggested Prerequisites

Algebra 2

Description

Dive into the fascinating world of data exploration and analysis! In this course, youâ€™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

Module 5: Sampling Distributions and Confidence Intervals

-Contrasting sampling distributions and samples for proportions

-Contrasting sampling distributions and samples for means

-Constructing and interpreting confidence intervals for proportions

-Constructing and interpreting confidence intervals for means

Module 6: Proportions

-Performing hypothesis testing for one proportion

-Interpreting errors, power, and significance

-Constructing and interpreting confidence intervals for two proportions

-Performing hypothesis testing for two proportions

Module 7: Means and Slope

-Performing hypothesis testing for one-sample mean

-Ccomparing two means

-Inferring from matched pairs

-Inferring from linear regression

-Constructing and interpreting confidence intervals for slope

Module 8: Chi-Square

-Performing Chi-Square goodness-of-fit test

-Inferring from Chi-Square two-way tests

-Reviewing data collection and exploration

-Reviewing probability, sampling, and inference