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. Source of Variation 50°C 60°C 70°C Treatments Error Total Temperature 35 23 35 38 34 70 29 368 31 438 35 23 Construct an analysis of variance table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.) 22 24 27 27 29 Sum of Squares 38 Degrees of Freedom 2 2 11 X X 35 Mean Square 18.83 x F 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.
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. Source of Variation 50°C 60°C 70°C Treatments Error Total Temperature 35 23 35 38 34 70 29 368 31 438 35 23 Construct an analysis of variance table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.) 22 24 27 27 29 Sum of Squares 38 Degrees of Freedom 2 2 11 X X 35 Mean Square 18.83 x F 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.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
please show me the excel formulas you use if possible
Transcribed Image Text:Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
State your conclusion.
Reject Ho. There is not sufficient evidence to conclude that the mean time needed to mix a batch of material is not the same for each manufacturer.
Do not reject Ho. There is not sufficient evidence to conclude that the mean time needed to mix a batch of material is not the same for each
manufacturer.
Do not reject Ho. There is sufficient evidence to conclude that the mean time needed to mix a batch of material is not the same for each manufacturer.
Reject Ho. There is sufficient evidence to conclude that the mean time needed to mix a batch of material is not the same for each manufacturer.
(b) At the a = 0.05 level of significance, use Fisher's LSD procedure to test for the equality of the means for manufacturers 1 and 3.
Find the value of LSD. (Round your answer to two decimal places.)
LSD =
Find the pairwise absolute difference between sample means for manufacturers 1 and 3.
x₁ - x3 =
=
What conclusion can you draw after carrying out this test?
There is a significant difference between the means for manufacturer 1 and manufacturer 3.
There is not a significant difference between the means for manufacturer 1 and manufacturer 3.
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.
Source
of Variation
50°C 60°C 70°C
Error
35
Total
23
35
38
Temperature
34
Treatments 70
29
368
31
438
35
23
22
Construct an analysis of variance table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)
24
27
27
29
Sum
of Squares
38
2
Degrees
of Freedom
11 Xx
X
35
Mean
Square
18.83
X
F
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.
Expert Solution
Step 1
Given data:
| Temperature | ||
| 35 | 29 | 24 |
| 23 | 31 | 27 |
| 35 | 35 | 27 |
| 38 | 23 | 29 |
| 34 | 22 | 38 |
Step by step
Solved in 2 steps with 1 images
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