A sample of soy bean plots were divided into three equal groups
in a completely randomized design, and each group received a
different formulation of a selective weed killer (wk). The
researchers measured the area of crop damage inflicted by each
formulation. The aim is to choose the weed killer formulation that
inflicts the least amount of crop damage. What can the researchers
conclude with an α of 0.01?
wk 1 | wk 2 | wk 3 |
11 10 13 10 15 17 10 |
24 26 20 29 19 14 21 |
27 38 37 22 18 30 24 |
b) Obtain/compute the appropriate values to make a
decision about H0.
critical value = ____________ ; test statistic =
_______________
Decision: ---Select--- Reject H0 Fail to reject H0
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
η2 = ______________ ; ---Select--- na trivial
effect small effect medium effect large effect
.
e) Regardless of the H0
decision in b), conduct Tukey's post hoc test for
the following comparisons:
2 vs. 3: difference = ______________ ;
significant: ---Select--- Yes No
1 vs. 2: difference = ______________ ;
significant: ---Select--- Yes No
f) Regardless of the H0
decision in b), conduct Scheffe's post hoc test
for the following comparisons:
1 vs. 3: test statistic = ______________ ;
significant: ---Select--- Yes No
2 vs. 3: test statistic =______________ ;
significant: ---Select--- Yes No
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 878.000 | 2 | 439.000 | 14.845 | 0.0002 | 6.01 |
Within Groups | 532.286 | 18 | 29.571 | |||
Total | 1410.286 | 20 |
B) CRITICAL VALUE = 6.01
test stat = 14.845
decision: reject Ho
c) eta square ,effect size = SSbet/SST= 0.6226 (large)
d)
2 vs. 3: difference = _____6.14_________ ;
significant: No
1 vs. 2: difference = ______9.57________ ; significant:
YES
e)
Test statistic, F'= (X̅I -
X̅j)²/(MSE*√(1ni+1/nj))
1 vs. 3: test statistic = ____45.93__________ ; significant:
YES
2 vs. 3: test statistic =________7.018______ ;
significant: YES
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