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A farmer conducts a test on 3 types of superfeed. The weight gain (in lbs.) are as follows: Type A Type B Type C 12 11 14 17
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12 11 14 17 12 21 19 10 17 13 18 Sum = 61 33 70 Average = 15.25 11 17.5 Σ; Χ2 = - 963 365 1250 St. Dev. = 3.304 1 2.887 SS =

The total sample size is N = 11. Therefore, the total degrees of freedom are: dftotal = 11 -1 = 10 Also, the between-groups d

M Sbetween S Sbetween dfbetween 73.159 2 = 36.58 M Swithin S Swithin df within 59.75 8 = 7.469 Now that sum of squares are co

The following null and alternative hypotheses need to be tested:

Ho: μ1 = μ2 = μ3

Ha: Not all means are equa

Based on the information provided, the significance level is α=0.01, and the degrees of freedom are df1​=2 and df2​=2, therefore, the rejection region for this F-test is R={F:F>Fc​=8.649}

Since it is observed that F=4.898≤Fc​=8.649, it is then concluded that the null hypothesis is not rejected.

Using the P-value approach: The p-value is p=0.0408, and since p=0.0408≥0.01, it is concluded that the null hypothesis is not rejected.

It is concluded that the null hypothesis Ho is not rejected. Therefore, there is not enough evidence to claim that not all 3 population means are equal, at the α=0.01 significance level.

ANOVA Summary Sum of Squares Degrees of Freedom Mean Square Source F-Stat P-Value DF SS MS Between Groups 2 73.1591 36.5795 4

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