d. ni=35, n2 = 40; both samples are approximately Normal, sample 2 has two outliers. It is safe to use t procedures in more than one of the situations above. %3D e. An advertising firm is comparing two different 30-second television ads for a new mobile phone A group of 48 volunteers is divided randomly into two groupsof 24 and each group watches one of the ads.) Afterwards, all the subjects are asked to estimate, on a scale of 1 (no way) to 10 (definitely), whether they would consider buying this phone the next time they upgrade to a new phone Let and Hzrepresent the mean rating we would observe for the entirepopulati on rèpresented by the volunteers if all members of this population saw the first or second ad, respectively. The data is given in the table below. Dot plots for the two sets of ratings show no indication of non-Normality Ad 1 24 6.1 1.7 Ad 2 24 4.8 1.3 Which of the following is a correct interpretation of this interval? We are 98% confident thatis interval captures the true difference in mean rating for the first and second ad. 98% of the time, the true difference in mean rating between the first and second ad wil1 a. b. be in this interval There is a 0.98 probability that the true difference in mean rating for the first and second ad in this interval. d. 98% of the intervals construction this way will contain the value 0. e. There is a 98% probability that we have not captured the true difference in the population means. с.

MATLAB: An Introduction with Applications
6th Edition
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Author:Amos Gilat
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Chapter1: Starting With Matlab
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d.
ni=35, n2 = 40; both samples are approximately Normal, sample 2 has two outliers.
It is safe to use t procedures in more than one of the situations above.
%3D
e.
An advertising firm is comparing two different 30-second television ads for a new mobile phone A
group of 48 volunteers is divided randomly into two groupsof 24 and each group watches one of the
ads.) Afterwards, all the subjects are asked to estimate, on a scale of 1 (no way) to 10 (definitely),
whether they would consider buying this phone the next time they upgrade to a new phone Let and
Hzrepresent the mean rating we would observe for the entirepopulati on rèpresented by the volunteers
if all members of this population saw the first or second ad, respectively. The data is given in the
table below. Dot plots for the two sets of ratings show no indication of non-Normality
Ad 1
24
6.1
1.7
Ad 2
24
4.8
1.3
Which of the following is a correct interpretation of this interval?
We are 98% confident thatis interval captures the true difference in mean rating for
the first and second ad.
98% of the time, the true difference in mean rating between the first and second ad wil1
a.
b.
be in this interval
There is a 0.98 probability that the true difference in mean rating for the first and second
ad in this interval.
d. 98% of the intervals construction this way will contain the value 0.
e. There is a 98% probability that we have not captured the true difference in the
population means.
с.
Transcribed Image Text:d. ni=35, n2 = 40; both samples are approximately Normal, sample 2 has two outliers. It is safe to use t procedures in more than one of the situations above. %3D e. An advertising firm is comparing two different 30-second television ads for a new mobile phone A group of 48 volunteers is divided randomly into two groupsof 24 and each group watches one of the ads.) Afterwards, all the subjects are asked to estimate, on a scale of 1 (no way) to 10 (definitely), whether they would consider buying this phone the next time they upgrade to a new phone Let and Hzrepresent the mean rating we would observe for the entirepopulati on rèpresented by the volunteers if all members of this population saw the first or second ad, respectively. The data is given in the table below. Dot plots for the two sets of ratings show no indication of non-Normality Ad 1 24 6.1 1.7 Ad 2 24 4.8 1.3 Which of the following is a correct interpretation of this interval? We are 98% confident thatis interval captures the true difference in mean rating for the first and second ad. 98% of the time, the true difference in mean rating between the first and second ad wil1 a. b. be in this interval There is a 0.98 probability that the true difference in mean rating for the first and second ad in this interval. d. 98% of the intervals construction this way will contain the value 0. e. There is a 98% probability that we have not captured the true difference in the population means. с.
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