Question

In: Statistics and Probability

To study the effect of temperature on yield in a chemical process, five batches were produced...

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
  1. Construct an analysis of variance table (to 2 decimals, if necessary). Round p-value to four decimal places.
    Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value
    Treatments
    Error
    Total

  2. Use a .05 level of significance to test whether the temperature level has an effect on the mean yield of the process.

    The p-value is Selectless than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 11

    What is your conclusion?
    SelectConclude that the mean yields for the three temperatures are not all equalConclude that the mean yields for the three temperatures are all equal

Solutions

Expert Solution

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.

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