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 | 30 | 25 | ||
21 | 31 | 30 | ||
33 | 34 | 30 | ||
36 | 23 | 32 | ||
29 | 27 | 33 |
a. Construct an analysis of variance table (to 2 decimals but p-value to 4 decimals, if necessary).
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | p-value |
Treatments | |||||
Error | |||||
Total |
b. Use a level of significance to test whether the temperature level has an effect on the mean yield of the process.
Calculate the value of the test statistic (to 2 decimals).
The -value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 12
What is your conclusion?
- Select your answer -Conclude that the mean yields for the three temperatures are not all equalDo not reject the assumption that the mean yields for the three temperatures are equal
Answer:
We want to test whether the temperature level has an effect on the mean yield of the process.
That is Hypothesis is given by
H0 : the mean yields for the three temperatures are equal against
H1 : the mean yields for the three temperatures are not equal
a) Analysis of variance table
Source of Variation | Sum of Squares | Degrees of Freedom | Mean Square | F | P-value |
Treatments | 3.3 | 2 | 1.7 | 0.08 | 0.919 |
Error | 236.0 | 12 | 19.7 | ||
Total | 239.3 | 14 |
b) The P- value is greater than 0.1 level of significance.
p-value > l.o.s
Hence, Conclude that Do not reject the assumption that the mean yields for the three temperatures are equal.
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