Treatment A Treatment B Treatment C
32 44 34
30 43 37
30 44 36
26 46 37
32 48 41
Sample mean 30 45 37
Sample variance 6 4 6.5
a. At the X= 0.05 level of significance, can we reject the null hypothesis that the means of the three treatments are equal?
Compute the values below (to 1 decimal, if necessary).
Sum of Squares, Treatment
Sum of Squares, Error
Mean Squares, Treatment
Mean Squares, Error
Calculate the value of the test statistic (to 2 decimals).
The p-value is
What is your conclusion?
b. Calculate the value of Fisher's LSD (to 2 decimals). Use Fisher's LSD procedure to test whether there is a significant difference between the means for treatments A and B, treatments A and C, and treatments B and C. Use x=0.05.
Difference Absolute Value Conclusion
xA-xB
xA-xC
XB-xC
c. Use Fisher's LSD procedure to develop a 95% confidence interval estimate of the difference between the means of treatments A and B (to 2 decimals). Since treatment B has the larger mean, the confidence interval for the difference between the means of treatments A and B (xA-xB ) should be reported with negative values.
( , )
a)
Applying one way ANOVA:
Source of variation | SS | df | MS | F | p vlaue | |
treatments | 563.333 | 2 | 281.6667 | 51.212 | 0.000 | |
error | 66.000 | 12 | 5.5000 | |||
total | 629.333 | 14 |
sum of square; treatment= | 563.33 |
sum of square; error= | 66.00 |
mean square; treatment= | 281.67 |
mean square; error= | 5.50 |
test statistic = | 51.21 |
pvalue =0.000
b)
Fisher's (LSD) for group i and j = (tN-k)*(sp*β(1/ni+1/nj) = | 3.23 |
Difference | Absolute Value | Conclusion |
x1-x2 | 15.00 | significant difference |
x1-x3 | 7.00 | significant difference |
x2-x3 | 8.00 | significant difference |
c)
95% confidence interval -18.23 , -11.77
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