treatment | SS | NS | HUM | ARTS | ||||
count, ni = | 10 | 10 | 10 | 10 | ||||
mean , x̅ i = | 118.300 | 170.80 | 120.30 | 94.60 | ||||
std. dev., si = | 48.9 | 48.5 | 58.1 | 44.9 | ||||
sample variances, si^2 = | 2391.122 | 2351.511 | 3380.900 | 2020.267 | ||||
total sum | 1183 | 1708 | 1203 | 946 | 5040 | (grand sum) | ||
grand mean , x̅̅ = | Σni*x̅i/Σni = | 126.00 | ||||||
( x̅ - x̅̅ )² | 59.290 | 2007.040 | 32.490 | 985.960 | ||||
TOTAL | ||||||||
SS(between)= SSB = Σn( x̅ - x̅̅)² = | 592.900 | 20070.400 | 324.900 | 9859.600 | 30847.8 | |||
SS(within ) = SSW = Σ(n-1)s² = | 21520.100 | 21163.600 | 30428.100 | 18182.400 | 91294.2000 |
no. of treatment , k = 4
df between = k-1 = 3
N = Σn = 40
df within = N-k = 36
mean square between groups , MSB = SSB/k-1 =
30847.8/3= 10282.6000
mean square within groups , MSW = SSW/N-k =
91294.2/36= 2535.9500
F-stat = MSB/MSW = 10282.6/2535.95=
4.05
P value = 0.0140
anova table | ||||||
SS | df | MS | F | p-value | F-critical | |
Between: | 30847.8 | 3 | 10282.6 | 4.05 | 0.014 | 2.866 |
Within: | 91294.2 | 36 | 2536.0 | |||
Total: | 122142.0 | 39 |
α = 0.05
Decision: p-value<α , reject null hypothesis
conclusion :
there is enough evidence of significant mean difference among FOUR
treatments
.............
Please let me know in case of any doubt.
Thanks in advance!
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Need to perform an anova test om C1-T C2 C3 Field Cost SocialSci... 77 1 2....