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Reject the null hypothesis if p-value ≤ 0.05. Step 4: Construct the ANOVA Table. From the output, FAB = 0.0640 with 6 and 36 degrees of freedom.
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N u m b e r of Coats 1 2 3 4 6 72.0 72.1 75.2 70. 74.6 76.9 73.8 68. 67.4 74.8 75.7 72. 72.8 73.3 77.8 72. 8 76.9 80.3 80.2 74. 78.1 79.3 76.6 77. 72.9 76.6 77.3 74. 74.2 77.2 79.9 72. 10 76.3 80.9 79.2 71. 74.1 73.7 78.0 77. 77.1 78.6 77.6 75. 75.0 80.2 81.2 74. B a t c h
Preliminary research on the production of imitation pearls entailed studying the effect of the number of coats of a special lacquer applied to an opalescent plastic bead used as the base of the pearl on the market value of the pearl. Four batches of beads (12 beads per batch) were used in the study, and it is desired to also consider the batch effect on the market value. The three levels of lacquer coatings (6, 8, and 10 coats) were fixed in advance, as were the production formulations for the four batches. The market value of each pearl was determined by a panel of experts. The data are shown in the accompanying table. Perform the appropriate analysis of variance procedure (including a profile plot of the means, hypothesis tests, and multiple comparisons) for this experiment. Use α = 0.05.
Select “Scatter/Dot…” from the “Legacy Dialogs” submenu of the “Graphs” menu (see left figure, below). Select “Simple Scatter” then click the “Define” button (see middle figure, below). Enter “ExpNormal” in the Y-Axis box, “Market Value” in the X-Axis box, and panel your plots by “Number of Coats” as the rows and “Batch” as the columns (to match the way the data are presented in the problem description) (see right figure, below). Be sure to click the “Titles…” button and enter “Q-Q Plots by Treatment Groups” as Line 1 of your title. Once you click “OK”, you’ll be switched to the output window to see your plots so far (we aren’t done quite yet). Now, double-click the graph matrix to open it in editor mode. From the “Options” menu in editor mode, select “Reference Line from Equation” (see left figure, below). Lines should be added to each plot, and the “Properties” window should open. Change the custom equation so that the equation plotted becomes “y = x” (see middle figure, below). You may now exit out of editor mode as your plots now have the proper diagonal line displayed (see right figure, below). The resulting plots can now be interpreted individually in the same manner as Q–Q plots created by the usual method (Analyze Descriptive Statistics Q-Q Plots…) are interpreted.