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 60°C 50°C 30 27 20 28 32 31 35 20 28 24 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 Treatments Error Total 70°C 25 30 30 32 33 The p-value is Select your answer What is your conclusion? - Select your answer - p-value Use a 0.05 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).

MATLAB: An Introduction with Applications
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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
30
20
32
35
28
24
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
Treatments
Error
Total
60°C
27
28
31
The p-value is Select your answer -
What is your conclusion?
- Select your answer -
20
70°C
25
30
30
32
33
p-value
Use a 0.05 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).
Transcribed Image Text: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 30 20 32 35 28 24 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 Treatments Error Total 60°C 27 28 31 The p-value is Select your answer - What is your conclusion? - Select your answer - 20 70°C 25 30 30 32 33 p-value Use a 0.05 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).
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