In: Statistics and Probability
To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow.
Temperature |
||||
50°C | 60°C | 70°C | ||
31 | 32 | 20 | ||
21 | 33 | 25 | ||
33 | 36 | 25 | ||
36 | 25 | 27 | ||
29 | 29 | 28 |
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
Treatments | |||||
Error | |||||
Total |
Ans:
See calculations below:
a)
Source of Variation | SS | df | MS | F | P-value |
Between Groups | 103.33 | 2 | 51.67 | 2.63 | 0.1132 |
Within Groups | 236.00 | 12 | 19.67 | ||
Total | 339.33 | 14 |
b)p-value is greater than .10
Conclude that the mean yields for the three temperatures are all equal.
Analysis of variance:
Group 1 | Group 2 | Group 3 | Total | |
Sum | 150 | 155 | 125 | 430 |
Count | 5 | 5 | 5 | 15 |
Mean, Sum/n | 30 | 31 | 25 | |
Sum of square, Ʃ(xᵢ-x̅)² | 128 | 70 | 38 | |
Standard deviation | 5.6569 | 4.1833 | 3.0822 |
Number of treatment, k = | 3 |
Total sample Size, N = | 15 |
df(between) = k-1 = | 2 |
df(within) = N-k = | 12 |
df(total) = N-1 = | 14 |
SS(between) = (Sum1)²/n1 + (Sum2)²/n2 + (Sum3)²/n3 - (Grand Sum)²/ N = | 103.3333 |
SS(within) = SS1 + SS2 + SS3 = | 236 |
SS(total) = SS(between) + SS(within) = | 339.3333 |
MS(between) = SS(between)/df(between) = | 51.6667 |
MS(within) = SS(within)/df(within) = | 19.6667 |
F = MS(between)/MS(within) = | 2.6271 |
p-value = F.DIST.RT(2.6271, 2, 12) = | 0.1132 |
Null and Alternative Hypothesis: | |
Ho: µ1 = µ2 = µ3 | |
H1: At least one mean is different. | |
Test statistic: | |
F = | 2.63 |
Critical value: | |
Critical value Fc = F.INV.RT(0.05, 2, 12) = | 3.89 |
p-value: | |
p-value = F.DIST.RT(2.6271, 2, 12) = | 0.1132 |
Decision: | |
P-value > α, Do not reject the null hypothesis. |