[3] An advertising firm wants to determine the effects of the color of a magazine advertisement on the response of magazine readers. A random sample of readers is shown ads of four different colors, (Blue, Green, Yellow, Red) and three different sizes, (Small, Medium, Large.) The readers were asked to rate the ads from 1 to 12. The advertising firm felt that the size of the ad might make a difference, so they made sure that each color had an equal chance to be matched with each ad size. They weren't so interested in the ad size; they just didn't want the ad size to mask any differences due to the ad color. The file Ad Caloniovncontains the results. Use a 5% significance level, a = 0.05 for all hypothesis tests and confidence intervals. Conduct the appropriate analysis using JMP. (2 11 Uee IMP to conduct the appropriate catictical analueie

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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JMP Pro 15 preferred but Excel is okay.

[3] An advertising firm wants to determine the effects of the color of a magazine advertisement
on the response of magazine readers. A random sample of readers is shown ads of four
different colors, (Blue, Green, Yellow, Red) and three different sizes, (Small, Medium, Large.)
The readers were asked to rate the ads from 1 to 12. The advertising firm felt that the size of
the ad might make a difference, so they made sure that each color had an equal chance to be
matched with each ad size. They weren't so interested in the ad size; they just didn't want the
ad size to mask any differences due to the ad color. The file Ad Calonjonpcontains the results.
Use a 5% significance level, a = 0.05 for all hypothesis tests and confidence intervals. Conduct
the appropriate analysis using JMP.
[3.1] Use JMP to conduct the appropriate statistical analysis.
(poste Analysis of Variance Table Here)
[3.2] In your own words state the null and alternative hypothesis statements for the factor of
interest.
Ho: mu1 = mu2 = mu3
Ha: mean rating of at least two colors is not the same* (need to paraphrase)
[3.3] What can we conclude about the factor of interest?
a = 0.014
p = 0.014
[3.4] If appropriate, use JMP to create Tukey simultaneous 95 percent confidence intervals and
make pairwise comparisons if appropriate. If not appropriate, state why we would not make
pairwise comparisons.
JMP Assignment 5
(paste Ordered Dijjerences Report here)
(Interpret each of the simultaneous conjidence Intervals here. Or, use this space to state why we woud not conduct a muNtiple
comparison for the factor of interest.)
Simultaneous as percent confidence intervals because here all treatment means are equal if
we accept the null hypothesis we cannot find out or no need to find out which pair of means
is different*
Transcribed Image Text:[3] An advertising firm wants to determine the effects of the color of a magazine advertisement on the response of magazine readers. A random sample of readers is shown ads of four different colors, (Blue, Green, Yellow, Red) and three different sizes, (Small, Medium, Large.) The readers were asked to rate the ads from 1 to 12. The advertising firm felt that the size of the ad might make a difference, so they made sure that each color had an equal chance to be matched with each ad size. They weren't so interested in the ad size; they just didn't want the ad size to mask any differences due to the ad color. The file Ad Calonjonpcontains the results. Use a 5% significance level, a = 0.05 for all hypothesis tests and confidence intervals. Conduct the appropriate analysis using JMP. [3.1] Use JMP to conduct the appropriate statistical analysis. (poste Analysis of Variance Table Here) [3.2] In your own words state the null and alternative hypothesis statements for the factor of interest. Ho: mu1 = mu2 = mu3 Ha: mean rating of at least two colors is not the same* (need to paraphrase) [3.3] What can we conclude about the factor of interest? a = 0.014 p = 0.014 [3.4] If appropriate, use JMP to create Tukey simultaneous 95 percent confidence intervals and make pairwise comparisons if appropriate. If not appropriate, state why we would not make pairwise comparisons. JMP Assignment 5 (paste Ordered Dijjerences Report here) (Interpret each of the simultaneous conjidence Intervals here. Or, use this space to state why we woud not conduct a muNtiple comparison for the factor of interest.) Simultaneous as percent confidence intervals because here all treatment means are equal if we accept the null hypothesis we cannot find out or no need to find out which pair of means is different*
Ad Color (1).jmp
Color
Size
Rating
1 Blue
Small
2
2 Blue
Medium
3
3 Blue
Large
5
4 Green
Small
3
5 Green
Medium
6 Green
Large
6
7 Yellow Small
3
8 Yellow Medium
6
9 Yellow Large
7
10 Red
Small
8
11 Red
Medium
9
12 Red
Large
12
Transcribed Image Text:Ad Color (1).jmp Color Size Rating 1 Blue Small 2 2 Blue Medium 3 3 Blue Large 5 4 Green Small 3 5 Green Medium 6 Green Large 6 7 Yellow Small 3 8 Yellow Medium 6 9 Yellow Large 7 10 Red Small 8 11 Red Medium 9 12 Red Large 12
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