Skip to content

High School AP Statistics

FlexPoint digital courses are mobile-friendly and customizable. Course availability will differ by licensing model. Please confirm course selections with your FlexPoint account manager.
Back to Catalog Print Course Details

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

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