A statistics instructor wonders whether significant differences exist in her students’ final exam scores in her three different sections. She randomly selects the scores from 10 students in each section. A portion of the data is shown in the accompanying table. Assume exam scores are normally distributed.
Section 1  Section 2  Section 3 
60  75  86 
94  64  68 
56  73  65 
57  71  77 
60  83  91 
86  67  79 
66  76  94 
85  70  56 
82  80  50 
63  72  86 
Section  Score 
Section 1  60 
Section 1  94 
Section 1  56 
Section 1  57 
Section 1  60 
Section 1  86 
Section 1  66 
Section 1  85 
Section 1  82 
Section 1  63 
Section 2  75 
Section 2  64 
Section 2  73 
Section 2  71 
Section 2  83 
Section 2  67 
Section 2  76 
Section 2  70 
Section 2  80 
Section 2  72 
Section 3  86 
Section 3  68 
Section 3  65 
Section 3  77 
Section 3  91 
Section 3  79 
Section 3  94 
Section 3  56 
Section 3  50 
Section 3  86 
a. Construct an ANOVA table. (Round "Sum Sq" and "Mean Sq" to 1 decimal place, "F value" to 3, and "pvalue" to 3 decimal places. Before fitting your model, type options(scipen=10) and options(digits=10) into your R console.)

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