TASKS 1. See if you can plot the data to reveal what the block effects and supplier effects are. Can you at this time declare without a doubt what the conclusion of the study will be? Task 2: 2. Pretend for a moment that you do not know that Spooled = (10.17)2 + (10.34)2 + (9.87)2 + (11.34)2 the experiment was run in blocks. Analyze the data following the steps we went through in = 109.09 Lecture. - Draw a reference distribution to judge the . Spooled = 109.09 = 10.44 supplier averages. . scale factor _ Spooled _10.44 - (Alternatively, calculate a reference V5 2.24 = 4.66 interval.) . degrees of freedom = V = 3. Now use the full information about the blocking of the experiment, and analyze the data following the steps we went through in Lecture. . coordinates for reference distribution: - Draw a reference distribution (or interval) to compare suppliers. 5 1.0 1.5 2.0 2.5 3.0 t-ordinate - Draw a reference distribution (or interval) 1 x 4.66 0 2.33 4.66 6.99 9.32 11.65 13.98 to compare blocks. How does this analysis compare in sensitivity to the one you did in Task 2 above?Task 3: For comparing suppliers: Data Adjusted for Block Averages block A B C D -5 0 -7 9 -8 -8 15 -2 0 -9 avg.. -4 12 -6 Residuals block A B C . D 68 70 72 74 76 78 80 82 84 86 88 3 -1 . A 95% reference interval Is: x 4.66 2 -3 0 0 0 0. degrees of freedom = v = (# suppliers = 1)(# blocks - 1) . 82 _ sum of squared residuals . S = V S' = * scale factor for comparing suppliers: S . scale factor for comparing blocks: S * 95% reference interval for comparing suppliers: . 95% reference interval for comparing blocks: F L X