Three products were used in a hot summer to keep the pool chlorine level high. Each product was used in 6 pools, and there was a total of 18 pools in the experiment. The same amount of chlorine was added to each pool (A, B, or C) and the conditions such as pool size, temperature, sun exposure etc. were similar. The chlorine levels (%) were measured and recorded after 24 hours of using the products. The percentages in the table below are the percentage of the chlorine added to the pool remaining after this 24 hours. The data is as follows: A 96 56 52 66 70 60 B 44 36 34 50 40 48 с 34 40 32 22 20 24 a) Find the overall mean of the chlorine level across all the pools measured, and then find the mean of the chlorine level for each product.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Three products were used in a hot summer to keep the pool chlorine level high. Each product was
used in 6 pools, and there was a total of 18 pools in the experiment. The same amount of chlorine
was added to each pool (A, B, or C) and the conditions such as pool size, temperature, sun exposure
etc. were similar. The chlorine levels (%) were measured and recorded after 24 hours of using the
products. The percentages in the table below are the percentage of the chlorine added to the pool
remaining after this 24 hours. The data is as follows:
A
96
56
52
66
70
60
B
44
36
34
50
40
48
с
723227
34
40
20
24
a) Find the overall mean of the chlorine level across all the pools measured, and then find the
mean of the chlorine level for each product.
Transcribed Image Text:Three products were used in a hot summer to keep the pool chlorine level high. Each product was used in 6 pools, and there was a total of 18 pools in the experiment. The same amount of chlorine was added to each pool (A, B, or C) and the conditions such as pool size, temperature, sun exposure etc. were similar. The chlorine levels (%) were measured and recorded after 24 hours of using the products. The percentages in the table below are the percentage of the chlorine added to the pool remaining after this 24 hours. The data is as follows: A 96 56 52 66 70 60 B 44 36 34 50 40 48 с 723227 34 40 20 24 a) Find the overall mean of the chlorine level across all the pools measured, and then find the mean of the chlorine level for each product.
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Follow-up Question
e)Write the conclusion based on the ANOVA table.
Transcribed Image Text:e)Write the conclusion based on the ANOVA table.
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Follow-up Question
d) Perform an ANOVA test using the statistical package of your choice.
Copy and paste the resultant ANOVA table into your assessment document and compare your
calculated residual mean square from part c)
with the residual mean square from this ANOVA table.
Transcribed Image Text:d) Perform an ANOVA test using the statistical package of your choice. Copy and paste the resultant ANOVA table into your assessment document and compare your calculated residual mean square from part c) with the residual mean square from this ANOVA table.
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Follow-up Question
c) Calculate the residual sum of squares, then find the mean of the residual sum of
squares.
Note: residual mean square= (residual sum of squares) / (residual degrees of freedom)
where, residual degrees of freedom =
(A sample size -1) + (B sample size -1) + (C sample size -1)
Hint: you can use Microsoft Excel, R or SPSS to perform this calculation)
Transcribed Image Text:c) Calculate the residual sum of squares, then find the mean of the residual sum of squares. Note: residual mean square= (residual sum of squares) / (residual degrees of freedom) where, residual degrees of freedom = (A sample size -1) + (B sample size -1) + (C sample size -1) Hint: you can use Microsoft Excel, R or SPSS to perform this calculation)
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Follow-up Question
b) If each observation is given by the overall mean + product effect + residual, find the
residuals for all above observations and write them in a table. Product effect for
each observation is:
the group mean - the overall mean
So, the product effect is the same for all observations in a group (e.g., A).
(Hint: you can use Microsoft Excel, R or SPSS for this)
Transcribed Image Text:b) If each observation is given by the overall mean + product effect + residual, find the residuals for all above observations and write them in a table. Product effect for each observation is: the group mean - the overall mean So, the product effect is the same for all observations in a group (e.g., A). (Hint: you can use Microsoft Excel, R or SPSS for this)
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