622 CHAPTER 12 Analysis of Variance One-Way Analysis of Variance Access tech supplements, videos, and data sets at www.TriolaStats.com TECH CENTER Statdisk 1. Click Analysis in the top menu. 2. Select One-Way Analysis of Variance from the dropdown menu. 3. Enter the desired significance level and select at least 3 columns to be included in the analysis. 4. Click Evaluate. StatCrunch 1. Click Stat in the top menu. 2. Select ANOVA from the dropdown menu, then select One Way from the submenu. 3. Select the columns to be included in the analysis. 4. Click Compute! Minitab 1. Click Stat in the top menu. 2. Select ANOVA from the dropdown menu and select One-Way from the submenu. 3. Select Response data are in a separate column for each factor level. 4. In the Responses box select the columns to be included in the analysis. 5. Click the Options button and check the Assume equal variances box. 6. Click OK twice. TI-83, 83 84 Plus Calculator 8 us Ca cu ato 1. Press K, then select TESTS in the top menu. 2. Select ANOVA in the menu and press [. 3. Enter list names that include the data to be included in the analysis. Separate list names with , so the command appears in the format ANOVA(L1, L2, L3). 4. Press [ and use the arrow buttons to scroll through the results. TIP: The list name L1 (and L2 . . . L6) can be quickly entered by pressing F1. R Requires all data to be stacked in a single vector with the corresponding category name for each data value in a separate vector. R command: aov1y=x2 Additional ANOVA details: summary(aov1y=x2 ) Where y contains the data values and x contains the corresponding category names. A complete list of R statistical commands is available at TriolaStats.com Excel XLSTAT Add-In Data can be in the format of columns or a table. The procedure below is for the default “column” format which requires all data to be stacked in a single column with the corresponding category name for each data value in a separate column. 1. Click on the XLSTAT tab in the Ribbon and then click Modeling data. 2. Select ANOVA from the dropdown menu. 3. Enter the range of cells containing the Y>Dependent variable data values. 4. Select Qualitative box and enter the range of cells containing the qualitative values (category names) for the X>Explanatory variable. 5. If the first data row includes a label, check the Variable labels box. 6. Click OK. The Analysis of Variance table includes the F test statistic and P-value. Excel Data Analysis Add-In 1. Click on the Data tab in the Ribbon and then select Data Analysis in the top menu. 2. Select Anova: Single Factor under Analysis Tools and click OK. 3. Enter the desired data range for Input Range. 4. For Grouped By select Columns if data for each category are contained in separate columns; select Rows if data are organized by rows. 5. Check the Labels in First Row box if the first cell contains a category label. 6. Click OK for the results, including the F test statistic and P-value.
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