- Create two columns, one called
**exam1**and one called**exam4**. - Enter the data into the two columns

You really ought to know how to do this by now.

- Choose Stat / Basic Statistics / Display Descriptive Statistics
- Describe
**exam1**and**exam4** - Click OK

- Choose Graph / Scatterplot / with Regression
- The y-variable is
**exam4**and the x-variable is**exam1**. - Click OK
- Copy and paste the graph into Word

- Choose Stat / Basic Statistics / Correlation
- Select both
**exam1**and**exam4**for the variables

If you said that you should use the equation given by the computer to make predictions, then do the following. Otherwise the regression equation is that the predicted exam4 value equals the mean of the exam4 variable.

- Choose Stat / Regression / Regression
- The response variable is
**exam4** - The predictor variable is
**exam1** - Click OK
- The top of this section of output (you may need to scroll up to find it) contains the regression equation. Copy and paste the regression equation into Word.

- Go to the M&M website at http://www.mms.com/
- Click on About M&Ms
- Choose Products
- Choose Peanut M&Ms
- The claimed percentages are given, but the web page is not accessible, so if you're color blind, have your partner look at the page and send a note to M&M Mars letting them know that their page isn't accessible.

- Choose Calc / Probability Distributions / Chi-Square
- Select Inverse cumulative probability
- The degrees of freedom is one less than the number of categories
- The input constant is 0.95, the area to the left of the critical value (this is a right tail test with α = 0.05, but Minitab needs the area to the left).
- Click OK
- The critical value is what Minitab calls X

- Label the first column as
**Color**and enter the names of the colors - Label the next two columns in as
**Observed**and**Claimed** - In the
**Observed**column, enter the observed frequencies from Classroom Activity 7. Be sure you use the data for your section. - In the
**Claimed**column, enter the percents as claimed from M&Ms. You may enter them as percents or proportions, but do not actually put the % sign in there. - Choose Stats / Tables / Chi-Square Goodness-of-Fit Test (One Variable)
- The observed counts are in the
**Observed**column. - The category names are in the
**Color**columns - You are testing proportions specified by historical counts. These counts are in the
**claimed**column. (If you put in proportions instead of percents, you can still use this or you can use "specific proportions" and the output will be a little less cluttered). - Click on Graphs and turn all graphs off.
- Click OK

- The observed counts are in the

The results have a Chi-Sq, which is your test statistic and a P-value, which is your p-value. The "expected" column contains the expected frequencies.