Is the normality requirement satisifed for the test? Explain   b) At the 2% of significnace, does the p-value support the claim that the dry desnity of OSB is different to that of plywood?

MATLAB: An Introduction with Applications
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a) Is the normality requirement satisifed for the test? Explain

 

b) At the 2% of significnace, does the p-value support the claim that the dry desnity of OSB is different to that of plywood?

c) What is the p-value associared with the test?

Tests of Normality
Kolmogorov-Smirnov"
Shapiro-Wilk
Wood Type
Statistic
df
Sig.
Statistic
df
Sig.
Dry_Density Plywood
.187
12
.200
.944
12
.547
OSB
.258
14
.012
.922
14
.235
*. This is a lower bound of the true significance.
a. Lilliefors Significance Correction
Transcribed Image Text:Tests of Normality Kolmogorov-Smirnov" Shapiro-Wilk Wood Type Statistic df Sig. Statistic df Sig. Dry_Density Plywood .187 12 .200 .944 12 .547 OSB .258 14 .012 .922 14 .235 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction
Independent Samples Test
Levene's Test for Equality of
Variances
t-test for Equality of Means
95% Confidence Interval of the
Difference
Mean
Std. Error
Sig.
df
Sig. (2-tailed)
Difference
Difference
Lower
Upper
Dry_Density
Equal variances
4.356
.048
-4.721
24
.000
-16.57024
3.50981
-23.81413
-9.32634
assumed
Equal variances not
assumed
-4.891
22.087
.000
-16.57024
3.38814
-23.59520
-9.54528
Transcribed Image Text:Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Mean Std. Error Sig. df Sig. (2-tailed) Difference Difference Lower Upper Dry_Density Equal variances 4.356 .048 -4.721 24 .000 -16.57024 3.50981 -23.81413 -9.32634 assumed Equal variances not assumed -4.891 22.087 .000 -16.57024 3.38814 -23.59520 -9.54528
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