Exercise 1301 The following data are from a completely rando

{Exercise 13.01}

The following data are from a completely randomized design.

Compute the sum of squares between treatments.
______

Compute the mean square between treatments.
______

Compute the sum of squares due to error.
______

Compute the mean square due to error (to 1 decimal).
______

Set up the ANOVA table for this problem. Round all Sum of Squares to nearest whole numbers. Round all Mean Squares to one decimal places. Round F to two decimal places.

At the = .05 level of significance, test whether the means for the three treatments are equal.

Calculate the value of the test statistic (to 2 decimals).
______

The p-value is _________________

What is your conclusion?
_________________

Treatment
A B C
163 144 124
142 159 122
168 129 134
145 144 142
148 132 152
188 150 130
Sample mean 159 143 134
Sample variance 308.8 124.8 129.6

Solution

From Excel

a) sum of squares between treatments is 1924

b) mean square between treatments is 1924/2 =962

C) sum of squares due to error is 2816

d) mean square due to error is 2816/15 =187.7

Set up the ANOVA table for this problem.

Null hypothesis: the means for the three treatments are equal.

Alternative hypothesis:  the means for the three treatments are not equal.

Test statistic: F cal=5.12

Conclusion :

p value=0.02 and alpha=0.05

Now p value < alpha , we reject the null hypothesis.

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
A 6 954 159 308.8
B 6 858 143 124.8
C 6 804 134 129.6
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 1924 2 962 5.12429 0.020133 3.68232
Within Groups 2816 15 187.7333
Total 4740 17
{Exercise 13.01} The following data are from a completely randomized design. Compute the sum of squares between treatments. ______ Compute the mean square betwe
{Exercise 13.01} The following data are from a completely randomized design. Compute the sum of squares between treatments. ______ Compute the mean square betwe

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