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The graph above depicts the findings of a study that was conducted on

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Sajjad1994
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The graph above depicts the findings of a study that was conducted on [#permalink] New post   12 Jan 2024, 09:46
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Data Insights (DI) Butler 2023-24 [Question #197, Date: Jan-12-2024] [Click here for Details]




The graph above depicts the findings of a study that was conducted on four distinct Hollywood movies. The horizontal axis represents the timeline of the research, with surveys administered on five separate occasions. The first survey took place prior to the announcement of release date of movie, and the final survey was conducted after the movie had been released. The vertical axis displays the percentage of respondents indicating their interest in watching the movie. Additionally, the pre-release ratings of the movies, measured on a scale of 1 to 10, were disclosed to the respondents close to the release date. It is important to note that the sample size of respondents in each survey was consistent.

Select the most appropriate answer from the dropdown menu below according to the information provided.

The data indicates that for a movie with a pre-rating of , the percentage of respondents who changed their initial decision to watch the movie from the first survey to the survey conducted on the day of release was the highest at %

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Dropdown 1: 3.5
Dropdown 2: 350
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Re: The graph above depicts the findings of a study that was conducted on [#permalink] New post   17 Jan 2024, 10:16
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The graph above depicts the findings of a study that was conducted on [#permalink] New post   05 Feb 2024, 08:32
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Movie with pre-release rating of 9

Percentage of respondents who consider watching the movie before the announcement of the date of release = 44

Percentage of respondents who consider watching the movie on the day of release = 68

%age who change their mind = 68-44 = 24 = 24/44*100 = 54.55

Movie with pre-release rating of 7

Percentage of respondents who consider watching the movie before the announcement of the date of release = 34

Percentage of respondents who consider watching the movie on the day of release = 58

%age who change their mind = 58-34 = 24 = 24/34*100 = 70.59

Movie with pre-release rating of 5

Percentage of respondents who consider watching the movie before the announcement of the date of release = 18

Percentage of respondents who consider watching the movie on the day of release = 30

%age who change their mind = 30-18 = 12 = 12/18*100 = 66.67

Movie with pre-release rating of 3.5

Percentage of respondents who consider watching the movie before the announcement of the date of release = 2

Percentage of respondents who consider watching the movie on the day of release = 9

%age who change their mind = 9-2 = 7 = 7/2*100 = 350

Hence it is heighest for the movie with a pre-release rating of 3.5 with 350%
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The graph above depicts the findings of a study that was conducted on [#permalink] New post   08 Apr 2024, 23:07
­The data indicates that for a movie with a pre-rating of [3.5], the percentage of respondents who changed their initial decision to watch the movie from the first survey to the survey conducted on the day of release was the highest at [350]%

Rating 9: Rise from 45 to 75
Rating 7: Rise from 35 to 67
Raiting 5: Rise from 18 to 35
Rating 3.5: Rising from 2.5 to 9

=> Only rating 3.5 rise more than 100%
\(\frac{9}{2} = 350\)­%
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The graph above depicts the findings of a study that was conducted on [#permalink]
08 Apr 2024, 23:07
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