In this activity, students use the statistical features of the calculator to calculate statistical results, perform regressional analyses, and graphically display statistical data.

Before the Activity

Set up the calculator as explained in the activity

See the attached PDF file for detailed instructions for this activity

Print pages 121 - 146 from the attached activity PDF file for the class

During the Activity

Distribute the pages to the class.

Follow the Activity procedures:

Enter listed data into the calculator directly from the home screen, or by using the list editor

Plot a histogram for the entered data

Compute the summary statistics for one variable data

Edit lists using the List Editor

Use the sum command to compute summary statistics

Enter two-variable statistical data, and graph a scatter plot and an xyLine plot

Compute the summary statistics for two variable data

Understand how to recall summary statistics

Sort the data in ascending order

Find the Least Squares Regression line for the data, and determine its equation

Store the line in the graphing editor

Predict a y-value for a given x-value (and vice versa) using the regression curve

Use the Forecast option to compute the predicted value

Study various regression models which can be performed by the calculator

Perform a Power regression on a bivariate data

Graph the scatter diagram, the linear regression curve, and the power regression curve in the same viewing window

Compare the two regression curves

Using the Sum command, compute the values for the sum of the squares of the differences

Select the best regression model based on the SSD values

Determine the correlation between the data

Examine the Cumulative Distribution Programs

After the Activity

Students complete the exercises on the Activity sheet.

Review student results:

As a class, discuss questions that appeared to be more challenging