# B tukey kramer because the interaction is significant

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b.Tukey-Kramer Because the interaction is significant, we must analyze the Tukey for interactions and ignore the results for the individual factors. Factorial Design, Tukey Test (example 13b) Manually: g1846g3080g3404g1869g3048g3495g3014g3020g3006g3041g4593; g1869g3048g3404g1869g3048,g2868.g2868g2873,g2872,g2869g2876g34044.00; g1846g3080g34044.00g3495g2871g2874g2874g2871g340444.18Compare the critical tukey range against all paired mean differences.
15012510014001300120011001000900800700600500TempMean123Glass1Interaction Plot for Light OutputData Means32114001300120011001000900800700600500Glass1Mean100125150TempInteraction Plot for Light OutputData Means
Stat2610 Final Exam Study Guide (Including Test 3 Concepts) Factorial Design, ANOVA Table (example 14a) An experiment was conducted to determine if either firing temperature or furnace position affects the baked density of a carbon anode. Analyze for differences.
Stat2610 Final Exam Study Guide (Including Test 3 Concepts) 2111001000900800700600500850825800PositionMeanFiring TempMain Effects Plot for DensityData MeansFor position, position 1 is better than 2. For temp, 825 is better than the other two. Using tukey, this conclusion is supported.