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Please do these calculations by hand and not in minitab Problem 3-23 from Design

ID: 3208149 • Letter: P

Question

Please do these calculations by hand and not in minitab

Problem 3-23 from Design and Analysis of Experiments (Montgomery, 8th Edition): The effective life of insulating fluids at an accelerated load of 35 kVis being studied. Test data have been obtained for four types of fluids. The results were as follows: (a) Is there any indication that the fluids differ? Set up appropriate hypotheses and assumptions for investigating this issue. (b) By hand calculation, test the appropriate hypotheses using alpha = 0.05. What are your conclusions? (c) By hand calculation, find the P-value for the F statistic calculated in part (c) (d) Confirm your answers above using Minitab. Do the simultaneous confidence intervals identified differ significantly from what you calculated in part (d)? (e) Analyze the residuals and draw conclusions about model adequacy.

Explanation / Answer

Part a

There is no indication that the fluids differ because average value of four types of fluid are approximately near to each other.

Here, we have to use the one way analysis of variance for checking the claim or hypothesis whether there is any significant difference in the average life of fluid at 35kV load. The null and alternative hypotheses are given as below:

Null hypothesis: H0: There is no any significant difference in the average life of four types of fluid at 35kV load.

Alternative hypothesis: Ha: There is a significant difference in the average life of four types of fluid at 35kV load.

Part b

Here, we have to calculate the ANOVA table.

The calculation table is given as below:

X1

X2

X3

X4

X1^2

X2^2

X3^2

X4^2

17.6

16.9

21.4

19.3

339.68

285.61

457.96

372.49

18.9

15.3

23.6

21.1

398.79

234.09

556.96

445.21

16.3

18.6

19.4

16.9

275.47

345.96

376.36

285.61

17.4

17.1

18.5

17.5

304.5

292.41

342.25

306.25

20.1

19.5

20.5

18.3

367.83

380.25

420.25

334.89

21.6

20.3

22.3

19.8

427.68

412.09

497.29

392.04

Total

111.9

107.7

125.7

112.9

2113.95

1950.41

2651.07

2136.49

ANOVAs: Single Factor

SUMMARY

Groups

Count

Sum

Average

Variance

Fluid Type 1

6

111.9

18.65

3.811

Fluid Type 2

6

107.7

17.95

3.439

Fluid Type 3

6

125.7

20.95

3.531

Fluid Type 4

6

112.9

18.81667

2.417667

ANOVA

Source of Variation

SS

df

MS

F

P-value

F crit

Between Groups

30.165

4-1=3

30.165/3=10.055

10.055/3.2996=3.047278

0.052463

3.098391

Within Groups

65.99333

23-3=20

65.99/20=3.299667

Total

96.15833

24-1=23

F test statistic is less than F critical, so we do not reject the null hypothesis that there is no any significant difference in the average life of four types of fluid at 35kV load.

Part c

We are given

F = 10.055/3.2996 = 3.0473

DF for between = 3

DF for within = 20

So, P-value = 0.052 by using F-table

Part d

The Minitab output is given as below:

Welcome to Minitab, press F1 for help.

One-way ANOVA: X1, X2, X3, X4

Analysis of Variance

Source     DF        SS        MS        F        P

Factor      3     30.17     10.06     3.05    0.052

Error      20     65.99      3.30

Total      23     96.16

                                   Individual 95% CIs For Mean

                                   Based on Pooled StDev

Level       N      Mean     StDev --------+---------+---------+--------

X1          6    18.650     1.952      (------*-------)

X2          6    17.950     1.854 (-------*------)

X3          6   20.950     1.879                 (-------*------)

X4          6    18.817     1.555      (-------*-------)

                                   --------+---------+---------+--------

Pooled StDev =    1.816                 18.0      20.0      22.0

From this output, it is observed that ANOVA is correct.

X1

X2

X3

X4

X1^2

X2^2

X3^2

X4^2

17.6

16.9

21.4

19.3

339.68

285.61

457.96

372.49

18.9

15.3

23.6

21.1

398.79

234.09

556.96

445.21

16.3

18.6

19.4

16.9

275.47

345.96

376.36

285.61

17.4

17.1

18.5

17.5

304.5

292.41

342.25

306.25

20.1

19.5

20.5

18.3

367.83

380.25

420.25

334.89

21.6

20.3

22.3

19.8

427.68

412.09

497.29

392.04

Total

111.9

107.7

125.7

112.9

2113.95

1950.41

2651.07

2136.49