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Classroom » Curriculum Standards
Integrated Mathematics 2
Goal 3: Data Analysis and Probability - The learner will collect, organize, and interpret data to solve problems.
Objective 3.02. Create and use, for sets of data, calculator-generated models of linear, exponential, and quadratic functions to solve problems.
Additional related resources
We’re in the process of aligning our content for students to the Standard Course of Study. As we do, you’ll find it here.
General resources
- Find additional resources for teaching Mathematics — Grades 9–12.
Aligned lesson plans
- Now presenting quadratic equations
- This plan uses student created PowerPoint slides to present, review, and summarize various methods of solving quadratic equations.
- Format: lesson plan (grade 9–12 Mathematics)
- By Charlotte Lewis.
- 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.
- 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 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.
- Chutes and ladders - Quadratic equations review
- This lesson is designed as a review lesson for solving quadratic equations. Students will play the game "Chutes and Ladders," modified for quadratic equations, as they review for the test.
- Format: lesson plan (grade 9–12 Mathematics)
- By michelle longest.
Resources on the web
- Traveling Distances
- Students interpret the meaning of the slope and y-intercept of the graph of real-life data. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- The Regression Line
- Students investigate the relationship between a set of data points and a line used to fit the data points using a computer-based interactive graphing tool. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- My Graph Is...
- Students select their own real-life data to plot and interpret. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- Modeling Orbital Debris Problems
- Students examine the problem of space pollution caused by human-made debris in orbit to develop an understanding of functions and modeling. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- Gallery Walk
- Students view the work of other students in the class and explain their own work. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- The Effects of Outliers
- Students investigate the relationship between a set of data points and a line used to fit the data points using a computer-based interactive tool, the Regression Line Applet. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- Correlation and the Regression Line
- Students investigate the relationship between a set of data points and a line used to fit the data points using a computer-based interactive tool, the Regression Line Applet. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- Bathtub Water Levels
- Students examine real-life data that illustrates a negative slope. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- Automobile Mileage: Years Since 1990 vs. Mileage
- This lesson provides an opportunity for the students to analyze how changing the independent variable in a set of data can result in a different least squares regression line. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- Automobile Mileage: Year vs. Mileage
- Students plot data about automobile mileage and interpret the meaning of the slope and y-intercept in the resulting equation for the least squares regression line. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- Automobile Mileage: Comparing and Contrasting
- This lesson allows students the time they need to think about and discuss what they have done in the previous lessons. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
- Automobile Mileage: Age vs. Mileage
- Students plot data about automobile mileage and interpret the meaning of the slope and y-intercept of the least squares regression line. (Learn more)
- Format: lesson plan (grade 9–12 Mathematics)
- Provided by: National Council of Teachers of Mathematics
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