Engineering Statistics Data Analysis
Autor: Jannisthomas • December 7, 2017 • 2,102 Words (9 Pages) • 615 Views
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3 80 77.1 2.9
3 61 77.1 -16.1
3 89 77.1 11.9
3 97 80.7 16.3
3 98 80.7 17.3
3 79 80.7 -1.7
3 60 80.7 -20.7
3 84 80.7 3.3
3 58 80.7 -22.7
3 79 80.7 -1.7
3 86 80.7 5.3
3 91 80.7 10.3
3 75 80.7 -5.7
4 44 63.8 -19.8
4 59 63.8 -4.8
4 47 63.8 -16.8
4 60 63.8 -3.8
4 79 63.8 15.2
4 62 63.8 -1.8
4 73 63.8 9.2
4 64 63.8 0.2
4 69 63.8 5.2
4 81 63.8 17.2
4 70 79.9 -9.9
4 80 79.9 0.1
4 78 79.9 -1.9
4 72 79.9 -7.9
4 71 79.9 -8.9
4 75 79.9 -4.9
4 101 79.9 21.1
4 81 79.9 1.1
4 87 79.9 7.1
4 84 79.9 4.1
4 85 90.1 -5.1
4 83 90.1 -7.1
4 94 90.1 3.9
4 89 90.1 -1.1
4 77 90.1 -13.1
4 100 90.1 9.9
4 92 90.1 1.9
4 102 90.1 11.9
4 93 90.1 2.9
4 86 90.1 -4.1
5 84 79.8 4.2
5 67 79.8 -12.8
5 99 79.8 19.2
5 85 79.8 5.2
5 73 79.8 -6.8
5 74 79.8 -5.8
5 76 79.8 -3.8
5 82 79.8 2.2
5 79 79.8 -0.8
5 79 79.8 -0.8
5 87 83.2 3.8
5 100 83.2 16.8
5 83 83.2 -0.2
5 82 83.2 -1.2
5 93 83.2 9.8
5 76 83.2 -7.2
5 87 83.2 3.8
5 76 83.2 -7.2
5 70 83.2 -13.2
5 78 83.2 -5.2
5 84 86.2 -2.2
5 95 86.2 8.8
5 82 86.2 -4.2
5 74 86.2 -12.2
5 97 86.2 10.8
5 87 86.2 0.8
5 80 86.2 -6.2
5 76 86.2 -10.2
5 91 86.2 4.8
5 96 86.2 9.8
- Analyze the residuals from this experiment. If outliers are found identify from which treatment they come from.
[pic 5][pic 4]
We found Outliers from NPP,VF and VO graphs. They are at row 2,23, 42, 84, 86,107.
Accordingly, they are from treatment of (cold for d1, hot from d1, warm from d2, hot from d3, hot from d3, warm from d4)
- Conclude about ANOVA assumptions (use pvalues from appropiate tests)
Factor Information
Factor Type Levels Values
C8 Fixed 5 1, 2, 3, 4, 5
C7 Fixed 3 Cold, Hot, Warm
Analysis of Variance
Source DF Adj SS Adj MS F-Value P-Value
C8 4 2967 741.9 6.72 0.000
C7 2 3937 1968.5 17.82 0.000
C8*C7 8 2452 306.5 2.78 0.007
Error 135 14910 110.4
Total 149 24267
Fits and Diagnostics for Unusual Observations
Obs C9 Fit Resid Std Resid
2 87.00 60.30 26.70 2.68 R
23 57.00 80.70 -23.70 -2.38 R
42 47.00 70.10 -23.10 -2.32 R
84 60.00 80.70 -20.70 -2.08 R
86 58.00 80.70 -22.70 -2.28 R
107 101.00 79.90 21.10 2.12 R
R Large residual
Means
Fitted
Term Mean SE Mean
C8
1 69.57 1.92
2 74.17 1.92
3 77.07 1.92
4 77.93 1.92
5 83.07 1.92
C7
Cold 70.50 1.49
Hot
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