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(a) Test the hypothesis that each sample comes from a population with the same mean at the a = 0.05 level of significance. Th

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Answer #1

a)

treatment G1 G2 G3 L4
count, ni = 6 6 6
mean , x̅ i = 36.550 33.92 47.83
std. dev., si = 5.3 6.9 4.4
sample variances, si^2 = 27.643 48.270 19.515
total sum 219.3 203.5 287 709.8 (grand sum)
grand mean , x̅̅ = Σni*x̅i/Σni =   39.43
( x̅ - x̅̅ )² 8.314 30.434 70.560
TOTAL
SS(between)= SSB = Σn( x̅ - x̅̅)² = 49.882 182.602 423.360 655.8433333
SS(within ) = SSW = Σ(n-1)s² = 138.215 241.348 97.573 477.1367

no. of treatment , k =   3  
df between = k-1 =    2  
N = Σn =   18  
df within = N-k =   15  
      
mean square between groups , MSB = SSB/k-1 =    655.8433/2=   327.9217
mean square within groups , MSW = SSW/N-k =    477.1367/15=   31.8091
      
F-stat = MSB/MSW =    327.9217/31.8091=   10.31
      
P value =   0.002

anova table
SS df MS F p-value
Between: 655.8 2 327.9 10.3 0.002
Within: 477.1 15 31.8
Total: 1133.0 17

Reject the null hypothesis.

.....................

b)

TUKEY HSD/KRAMER
Level of significance 0.05
no. of treatments,k 3
DF error =N-k= 15
MSE = 31.8091
q-critical value(0.05,3,15)= 3.6734
confidence interval result
point estimate critical value lower limit upper limit
µ2-µ1 -2.63 8.46 -11.09 5.82 not sig
µ3-µ1 11.28 8.46 2.83 19.74 significant
µ3-µ2 13.92 8.46 5.46 22.37 significant

B. p1 = p + да

............

Please let me know in case of any doubt.

Thanks in advance!


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