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Kruskal-Wallis Test: exam versus technique
technique N Median
Ave Rank Z
1
6 76.00 10.6 -0.60
2
7 79.00 12.7 0.33
3
6 71.50 7.6 -1.86
4
4 88.50 19.5 2.43
Overall 23
12.0
H = 7.78 DF = 3 P = 0.051
H = 7.79 DF = 3 P = 0.051
(adjusted for ties)
* NOTE * One or more small samples
One-way ANOVA: exam versus technique
Source DF
SS MS F
P
technique 3
712.6 237.5 3.77 0.028
Error
19 1196.6 63.0
Total
22 1909.2
S = 7.936 R-Sq = 37.32% R-Sq(adj) = 27.43%
Individual 95% CIs For Mean Based on
Pooled StDev
Level N Mean
StDev ------+---------+---------+---------+---
1 6
75.667 8.165 (------*-----)
2 7
78.429 7.115
(-----*------)
3 6
70.833 9.579 (------*------)
4 4
87.750 5.795
(--------*-------)
------+---------+---------+---------+---
70 80
90 100
Pooled StDev = 7.936
Example:
How is the yield of corn fields affected by the density of weeds?
Four identical plots of corn were weeded to allow either
0, 1, 3 or 9 lambs' quarter plants per meter of corn row.
Kruskal-Wallis Test: yield versus
weeds
weeds N
Median Ave Rank Z
0
4 169.5 13.1 2.24
1
4 163.7 8.4 -0.06
3
4 157.3 6.3 -1.09
9
4 162.6 6.3 -1.09
Overall 16
8.5
H = 5.56 DF = 3 P = 0.135
H = 5.57 DF = 3 P = 0.134
(adjusted for ties)
* NOTE * One or more small samples
One-way ANOVA: yield versus weeds
Source DF
SS MS F
P
weeds 3
340.7 113.6 1.73 0.213
Error 12 785.5
65.5
Total 15 1126.2
S = 8.091 R-Sq = 30.25%
R-Sq(adj) = 12.81%
Individual 95% CIs For Mean Based on
Pooled StDev
Level N Mean
StDev ----+---------+---------+---------+-----
0 4
170.20 5.42
(----------*----------)
1 4
162.83 4.47
(----------*----------)
3 4
161.03 10.49 (----------*----------)
9 4
157.58 10.12 (----------*----------)
----+---------+---------+---------+-----
152.0 160.0 168.0
176.0