This course is based on the 2018 AP Statistics curriculum and introduces everything from basic descriptive statistics to data collection to hot topics in data analysis like Big Data and neural networks.

Today we’re going to talk about how we compare things that aren’t exactly the same – or aren’t measured in the same way.

Last week we introduced the ANOVA model which allows us to compare measurements of more than two groups, and today we’re going to show you how it can be applied to look at data that belong to multiple groups that overlap and interact.

In this lesson, students explore how cable pricing has changed over time, both in terms of total dollars and the cost per channel.

In this lesson, students use scatterplots and linear regression to examine several variables that may help predict Olympic performance.

In this lesson, students write a quadratic function to model the number of possible connections between users on a social network.

This activity is open and gives space for students to learn about representing in a graph with different dimensions but without numbers.

Students explore subtraction in the comparative mode by answering questions of “How many more?” and “How many less?” as they match sets of buttons.

In this lesson, students investigate relationships between numbers, identify number patterns, represent the information in graphic chart form, and generalize the results of an investigation.

Students participate in an activity in which they investigate the data in connection with recyclable materials and develop plans to help the environment.

Students identify and classify polygons according to various attributes.

Students use the data from previous lessons to find the range, median, and mode of the populations.