LEARN NC: Search Results

Bouncing ball experiment: In this experiment students should be in groups of 3. Students will drop a ball from different heights and measure the corresponding bounce. Since each group will use a different ball, they will generate different sets of data. They will be asked to discuss and compare their linear function with that of their classmates. They should practice measuring the ball bounce before they begin to collect data.; Format: lesson plan (grade 8–12 Mathematics); By alicia jones.

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.

Space Shuttle O-ring failure: Students will use a TI82 or TI83 calculator to construct a scatterplot, find the equation of the least-squares regression line for a set of data, find the coefficient of determination, and make predictions by using the line.; Format: lesson plan (grade 9–12 Mathematics); By Brenda Goforth.

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)

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