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An engineer wants to know if the mean strengths of three different concrete mix designs differ significantly. He also suspect

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Answer #1

a) test for equal variances

Test for Equal Variances: Strength versus Mixture

Method

Null hypothesis All variances are equal
Alternative hypothesis At least one variance is different
Significance level α = 0.05

Test for Equal Variances: Strength versus slump

Method Test
Statistic
P-Value
Multiple comparisons 0.777
Levene 0.35 0.708

Test for Equal Variances: Strength vs slump

Method Test
Statistic
P-Value
Multiple comparisons 0.541
Levene 0.38 0.688

Test for Equal Variances: Strength vs Mixture

requirement of equal variances is provided.

b)

ANOVA test

General Linear Model: Strength versus slump, Mixture

Method

Factor coding (-1, 0, +1)

Factor Information

Factor Type Levels Values
slump Fixed 3 1, 2, 3
Mixture Fixed 3 1, 2, 3

Analysis of Variance

Source DF Adj SS Adj MS F-Value P-Value
slump 2 1179702 589851 8.60 0.002
Mixture 2 1760946 880473 12.83 0.000
slump*Mixture 4 267304 66826 0.97 0.446
Error 18 1235100 68617
Total 26 4443052

There is no significant interaction because p -value is more than 0.05.

c) Yes there is a significant difference in three types of mixture.

Yes there is a significant difference in three types of slump.

d)

Interaction Plot for Strength Data Means Mixture 4500 2 4250 4000 3750 3500 3 1 2 slump Mean

e)

Tukey Simultaneous Tests for Differences of Means

Difference
of Mixture
Levels
Difference
of Means
SE of
Difference
Simultaneous
95% CI
T-Value Adjusted
P-Value
2 - 1 626 123 (310, 941) 5.07 0.000
3 - 1 314 123 (-1, 629) 2.54 0.051
3 - 2 -312 123 (-627, 4) -2.52 0.053

Individual confidence level = 98.00%

results indicate that option b is correct.

mixture 67-0-400 is significantly differ from mixture 67-0-301.

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