STOP’EM Lesson Template

Subject

Algebra I

Topic

Statistics

Objectives

This project is meant to supplement our textbook’s treatment of measures of center and measures of spread.  See below for applicable Ohio state benchmarks and grade level indicators. See Student Instruction Sheet for specific instructions.

Procedures

See  Student Instruction Sheet

 

Evaluation

Before:  Informal evaluation based on classroom participation and answers to questions about measures of center and measures of spread.

During:  Points will be awarded based on participation in the project and time on task.

After:  Grade based on paper and poster as described in Student Instruction Sheet.

Materials

Students must have access to the internet and to a spreadsheet program.  The computer lab will be used, as well as classroom computers.  Students will need their own posterboard and materials to make a poster outside of class. 

Websites See Website List

 

 

 

Data Analysis and Probability Strand

A.        Create, interpret and use graphical displays and statistical measures to describe data; e.g., box-and-whisker plots, histograms, scatterplots, measures of center and variability.

Ninth Grade Level Indicators:

       1.  Classify data as univariate (single variable) or bivariate (two variables) and as quantitative (measurement) or qualitative (categorical) data.

 

       2.   Create a scatterplot for a set of bivariate data, sketch the line of best fit, and interpret the slope of the line of best fit.

 

3.       Analyze and interpret frequency distributions based on spread, symmetry, skewness, clusters and outliers.

Tenth Grade Level Indicators:

       2.   Represent and analyze bivariate data using appropriate graphical displays (scatterplots, parallel box-and-whisker plots, histograms with more than one set of data, tables, charts, spreadsheets) with and without technology.

 

       4.   Identify outliers on a data display; e.g., use interquartile range to identify outliers on a box-and-whisker plot.

 

       6.   Interpret the relationship between two variables using multiple graphical displays and statistical measures; e.g., scatterplots, parallel box-and-whisker plots, and measures of center and spread.