treatment | G1 | G2 | G3 | G4 | G5 | |||
count, ni = | 8 | 8 | 8 | |||||
mean , x̅ i = | 3.000 | 8.25 | 5.38 | |||||
std. dev., si = | 1.8 | 1.0 | 1.1 | |||||
sample variances, si^2 = | 3.143 | 1.071 | 1.125 | |||||
total sum | 24 | 66 | 43 | 133 | (grand sum) | |||
grand mean , x̅̅ = | Σni*x̅i/Σni = | 5.54 | ||||||
( x̅ - x̅̅ )² | 6.460 | 7.335 | 0.028 | |||||
TOTAL | ||||||||
SS(between)= SSB = Σn( x̅ - x̅̅)² = | 51.681 | 58.681 | 0.222 | 110.5833333 | ||||
SS(within ) = SSW = Σ(n-1)s² = | 22.000 | 7.500 | 7.875 | 37.3750 |
no. of treatment , k = 3
df between = k-1 = 2
N = Σn = 24
df within = N-k = 21
mean square between groups , MSB = SSB/k-1 = 110.5833/2= 55.2917
mean square within groups , MSW = SSW/N-k = 37.375/21= 1.7798
F-stat = MSB/MSW = 55.2917/1.7798= 31.0669
anova table | ||||||
SS | df | MS | F | p-value | F-critical | |
Between: | 110.58 | 2.00 | 55.29 | 31.07 | 0.000 | 3.467 |
Within: | 37.38 | 21.00 | 1.78 | |||
Total: | 147.96 | 23.00 | ||||
α = | 0.05 |
F stat = 31.07
critical value at 0.05 = 3.467
f stat > critical value , reject Ho
................
TUKEY HSD/KRAMER | |
Level of significance | 0.05 |
no. of treatments,k | 3 |
DF error =N-k= | 21 |
MSE = | 1.7798 |
q-critical value(0.05,3,21)= | 3.5646 |
critical value = q*√(MSE/2*(1/ni+1/nj))
=1.68
confidence interval = mean difference ± critical value
if confidence interval do not contains zero, then means are
significantly different.
critical value = q*√(MSE/n)
if absolute difference of means > critical value,means are
significnantly different ,otherwise not
confidence interval | |||||||||
mean difference | absolute mean difference | critical value | lower limit | upper limit | result | ||||
µ1-µ2 | -5.25 | 5.25 | 1.68 | -6.93 | -3.57 | yes, means are different | |||
µ1-µ3 | -2.38 | 2.38 | 1.68 | -4.06 | -0.69 | yes, means are different | |||
µ2-µ3 | 2.88 | 2.88 | 1.68 | 1.19 | 4.56 | yes, means are different |
.......................
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