Browse lesson plans

Learning to use R statistical software for data mining — An extension of linear regression to multiple variables

In Understanding data mining: Extracting, organizing, and analyzing large sets of data, page 3

In this lesson, students will use the free R statistical software to navigate through the basics of data mining, a process in which the effects of individual variables can be determined. Students will utilize multiple methods of variable selection — forward selection, backward selection, and stepwise selection — in an attempt to determine which variables are most influential in a given situation.

Format: lesson plan (grade 9–12 Mathematics)

By Dail Midgette.

Learning to use R statistical software for data mining — Putting it all together

In Understanding data mining: Extracting, organizing, and analyzing large sets of data, page 4

Students will mine data to identify the variables that most significantly impact the...

Format: lesson plan (grade 9–12 Mathematics)

By Dail Midgette.

Learning to use R statistical software for linear regression — An alternative to the graphing calculator

In Understanding data mining: Extracting, organizing, and analyzing large sets of data, page 2

Students often learn how to do linear regression activities using a graphing calculator. This lesson provides an opportunity to complete these same types of assignments using R statistical software. Students will use this free software to create scatter plots and to develop linear regression models that can be used to make predictions.

Format: lesson plan (grade 9–12 Mathematics)

By Dail Midgette.

Sports statisticians: Working with systems of equations

In CareerStart lessons: Grade eight, page 2.10

In this lesson, students use the substitution and eliminations methods to solve systems of equations related to basketball statistics.

Format: lesson plan (grade 9 Mathematics)

By Debbie Brooks, Peggy Dickey, and Jan Sullivan.

Understanding data mining: Extracting, organizing, and analyzing large sets of data

Mathematics students in grades nine through twelve will be able to extract useful information from large sets of data that represent multiple disciplines. Using these real-world applications, students will analyze data and use their findings to make predictions and to provide solutions to problems.

Format: lesson plan (multiple pages)

Resources on the web

K-12 Statistics Page

Innovative, standards-based, technology-intensive mathematics and science instruction at the K-16 levels. (Learn more)

Format: website/lesson plan

Provided by: Office for Mathematics, Science, and Technology Education at the University of Illinois at Urbana-Champaign

The Math Forum

An outstanding site for mathematics instruction on the internet, sponsored by Drexel University, Math Forum provides resources, materials, and activities for both students and educators. The site is user friendly and easy to navigate. (Learn more)

Format: website/lesson plan

Provided by: Drexel University School of Education

Project Interactivate

Online tools and interactive applets to make math make sense to secondary students. (Learn more)

Format: website/lesson plan

Provided by: Shodor Foundation

TeachEngineering

This site provides inquiry-based lessons and activities which integrate applied science and math content within an engineering context which students will find relevant to their lives. (Learn more)

Format: website/lesson plan