JMP® Introductory Lab Activities Activity 3: Describing Numerical Data jmp Statistical Discovery:™ From SAS. Data Set: Big Class.jmp Summary In this lab, you will graph and summarize continuous data in JMP using Analyze > Distribution. You'll explore the data and create a report with JMP results, your commentary and your interpretation (required output and discussion is in italics). Opening the Big Class Data Open the file Big Class.jmp from the JMP Sample Data directory (go to Help > Sample Data, then click See an Alphabetical List of all Sample Data Files). The data represents 40 students who are enrolled in a martial arts class. Their teacher has to buy new uniforms for an upcoming competition and has taken measurements to help her. For each student, four variables are shown: age, sex, height and weight. 5/0 Cols 40/0 Note: You may need to click on the gray triangle in the upper left- hand corner of the data grid to open the Data Table Panel. This panel provides additional information on the data table and easy access to menu options. Graphing and Summarizing Continuous Data We'll start by exploring the height data using Analyze > Distribution. Select height for the Y, Columns variable and click OK. The output window will display a histogram, a boxplot and some numerical summaries. height To change the histogram to a horizontal layout, click the red triangle next to height, and select Display Options > Horizontal Layout. Using the height red triangle menu again: · Create a Stem and Leaf plot for the heights. . Use Histogram Options to modify the histogram to include both a Count Axis and probability (Prob) Axis.
Interacting with Your Data One important feature of JMP is its interactive nature. Here are some examples for you to try. (Note: In general, you can undo a mistake you make in the data table by using Edit > Undo): SI Arrange the windows on your screen so that both the Big Class data table and Distributions windows are visible. (You may need to resize or tile the windows.) was Click on a row of the data table, then look at the histogram: Its location is highlighted. § Look at the stem and leaf plot: This same value highlighted in the histogram is shown in bold type. cos Select all the 12-year-olds from the data table. There are many ways to do this. Explore these two methods: (1) From the Rows menu, select Row Selection > Select Where. Select the variable age. Make sure equals is chosen in the box below the variable selection, and enter 12 in the box to the right of this. Click OK. (2) From the Rows menu, select Data Filter. Select the variable age, and click Add. In the resulting window, click on the 12 age group to select. (Hint: To deselect rows or columns, click anywhere in the data table, or click Clear in the Data Filter.) Data Filter Select Show Include Clear 8 matching rows 12 age 13