Line Plots

Statistics come front and center in this unit all about analyzing discrete data. Real-world situations yield data sets that the class then uses to tease out connections and conclusions. Beginning with the basic histogram and...

Young statisticians use and interpret measures of center and spread such as mean, median, and mode as well as range. They use box plots to represent their data and answer questions regarding the correspondence between data sets and the...

Sal trades his tablet for an Excel spreadsheet in this video, which covers fitting data to a line. Using a word problem about median income, he not only solves the problem but also demonstrates how to use scatter plots and Excel tools in...

The teacher gives a very thorough explanation of numerical or quantitative data being anything where the answer to a question would be a number. Whereas any other answer might be considered categorical. She shows several different ways...

Not all data is the same. Using the interactive, pupils compare data represented in two different ways. The learners develop an understanding of the difference between discrete and continuous data and the different ways to represent each...

Scatter the TV sales over weeks. Pupils create a scatter plot to display the number of TV sales over a period of several weeks. The interactive allows class members to create two lines of best fit. Then they determine which line fits...

There are a number of activities here where learners collect and record data, as well as, activities where the likelihood of an event happening is calculated given the experimental probability. Young statisticians organize information...

Learners explore the concept of univariate and bivariate data. In this univaritate and bivariate data lesson, pupils discuss the differences between univariate and bivariate data. They work sample problems where they must construct box...

Let's be discrete about the types of data. A short video provides the definitions of discrete and continuous data. After providing the definitions, the resource takes different types of data and sorts them based on type and provides an...

In this exercise, students practice describing data distributions as clusters, gaps, peaks, and outliers. Students receive immediate feedback and have the opportunity to get hints and try questions repeatedly.