To prevent spam from entering your email inbox, you use a filter. You are interested in knowing if the number of spam emails differs by day of the week. The number of spam emails by day of week is counted and recorded. Minitab is used to perform the data analysis. Here are the results:

Using the ANOVA results, compare the average number of spam emails for each day of the week.

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Analysis of Variance Adj SS 6 2266.92 Source DF Adj MS F-Val ue P-Value Factor 377.820 9.29 <0.0001 Error 48 1952 43 40.676 Total 54 4219.35 Means 95% CI 4.452 (72.346, 80.455) Factor Mean SIDEV Monday 10 76.400 Tuesday 60.444 4.333 (56.170, 64.719) (69.439, 79.132) (56.216, 65.284) (69.466, 78.534) (58.265, 69.735) (64.591, 73.659) Wednesday Thursday Friday Saturday Sunday 74.288 4.231 60.750 6.251 7.838 8. 74.D00 64.000 7.036 69.125 9.372 Pooled StDov - 6.37774 Grouping Information Using the Fisher LSD Method and 95% Confidence Mean Grouping 10 76.400 A Factor Monday Wednesday Friday 74.286 A B 74.000 A B Sunday 69.125 5 64.000 Saturday Thursday Tuesday 60,750 60.444 Means that do not share a letter are significantiy different. Fisher Individual Tests for Differences of Means Difference of Levels Tuesday-Monday Difference of Means SE of Difference 95% CI T-Value Adjusted P-Value -15.956 2.930 (-21.847, -10.064) -5,44 <0.0001 -2.114 Wednesday-Monday Thursday-Monday Friday-Monday Saturday-Monday Sunday-Monday Wednesday-Tuesday Thursday-Tuesday Friday-Tuesday Saturday-Tuesday Sunday-Tuosday Thursday-Wecinesday Friday-Wednesday Saturday-Wednesday Sunday-Wednesday Friday-Thursday Saturday-Thursday Sunday-Thursday Saturday-Friday Sunday-Friday Sunday-Saturday 3.143 (-8.434, 4.205) -0.67 0.5044 -15.650 3.025 (-21.733, -9.567) -5.17 <0.0001 -2.400 3.025 (-8.483, 3.683) (-19.424, -5.376) (-13.358, -1.192) -0.79 0.4315 -12.400 3.493 -3.55 0.0009 -7.275 3.025 -2.40 0.0201 13.841 3.214 (7.379, 20.304) 4.31 <0.0001 0.306 3.099 (-5.925, 6.537) (7.325, 19.787) (-3.597, 10.708) (2.450, 14.912) (-20.172, -6.899) 0.10 0.9219 13.556 3.556 3.099 4.37 <0.0001 3.557 1.00 0.3226 8.681 3.099 2.80 0.0073 -13.536 3.301 -4.10 0.0002 -0.286 3.301 (-6.922, 6.351) -0.09 0.9314 -10.286 3.734 (-17.794, -2.777) -2.75 0.0083 -5.161 3.301 (-11.797, 1.476) (6.838, 19.662) -1.56 0.1245 13.250 3.189 4.16 0.0001 3.250 3.636 (-4.060, 10.560) 0.89 0.3759 3.189 (1.963, 14.787) (-17.310, -2.690) 8.375 2.69 0.0115 -10.000 3.636 -2.75 0.0084 -4.875 3.189 (11.287, 1.537) -1.53 0.1329 5.125 3.636 (-2.185, 12.435) 1.41 0.1651 Simultaneous confidence level = 57.84%