# Mini-Project 3-3 Breanna Anderson QNT/275 Due Jan,29

Mini-Project
3-3

Breanna
Anderson

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QNT/275

Due
Jan,29 2018

Sudesh
Kannan

Calculate
the summary measures:

Action movies is the first genre.
Data calculations are as follows; the standard deviation equaled
\$93,305,573.30, the mean equaled \$93,602,863.00, the five-number summary
equaled min = \$1,558,836.00 Q1 = \$19,736,060 Q2 (median) = \$58,607,007.00 Q3 =
\$130,800,900.00 max = \$350,126,372.00 and the interquartile range (or IQR for
short) equaled \$111,064,841.

The next listed genre is
equaled \$122,371,299.30, which is the most among the other categories. The
standard deviation equaled \$104,675,749.50, the five-number summary equaled min
= \$2,589,811 Q1 = \$445,058,978.00 Q2 (median) = \$113,729,151 Q3
=\$169,483,956.00 max = \$337,135,885.00 and, the interquartile range data
equaled \$124,424,978.00.

The following animation data
calculations are as follows for this genre; the mean equaled \$94,178,308.08,
the standard deviation equaled \$82,412,674.37, the five-number summary equaled
min = \$2,553,002.00 Q1 = \$50,151,543.00 Q2 (median) = \$6,4251,541.00 Q3 =
\$131,538,435.00 max= \$257,760,692.00 and, the interquartile range data equaled
\$81,386,892.00.

Moving on to the following movie
genre we have Biography, the movie genre’s data calculations are as follows;
the mean equaled \$31,174,421.39, the standard deviation equaled \$32,675,664.09,
the five-number summary equaled min = \$2,107,925.00 Q1 = \$4,721,702.75 Q2
(median) = \$2,2592,565.50 Q3 = \$44,755,348.75 max = \$115,637,895.00 and the
interquartile range data equaled \$40,033,646.00.

The next data calculation is for
the movie genre comedy, comedy’s movie genre data calculations are as follows;
the movie genre’s data calculations are as follows; the mean equaled
\$28,653,207.85, the standard deviation equaled \$33,263,412.48, the five-number
summary equaled min = \$1,359,497.00 Q1 = \$3,461,509 Q2 (median) =
\$10,616,104.00 Q3 = \$45,216,161.00 max = \$150,157,400.00 and, the interquartile
range data equaled \$41,754,652.00.

Following comedy, is the genre
for crime movies. The data calculations crime movies are as follows; the mean
equaled \$26,341,667.11, the standard deviation equaled \$16,671,949.76, the
five-number summary equaled min = \$3,322,127.00 Q1 = \$13,757,804.00 Q2 (median)
= \$26,307,600.00 Q3 = \$33,680,992.00 max = \$52,543,632.00 and, the
interquartile range data equaled \$19,923,188.00.

Then we move to the movie genre
documentary. The movie genre documentary’s data calculations are as follows;
the mean equaled \$6,417,582.67, which is the smallest average. The standard
deviation equaled \$6,294,492.38, the five-number summary equaled min = \$1,514,782.00
Q1 = \$1,539,680.00 Q2 (median) = \$2,799,318.00 Q3 = \$10,422,129.00 max =
\$17,780,194.00 and, the interquartile range data equaled \$8,882,449.00.

Next up we have the movie genre
drama, the movie genre drama’s data calculations are as follows; the mean
equaled \$24,463,029.50, the standard deviation equaled \$36,532,450.25, the
five-number summary equaled min = \$1,359,910.00 Q1 = \$2,641,240.50 Q2 (median)
= \$7,480,890.50 Q3 = \$6,412,730.00 max = \$67,767,189.00 and, the interquartile
range data equaled \$23,771,489.50.

Horror films is the last genre to
be calculated.  The movie genre horror’s
data calculations are as follows; the mean equaled \$31,619,028.00, the standard
deviation equaled \$26,121,781.63, the five-number summary equaled min =
\$2,756,333.00 Q1 = \$13,993,562.50 Q2 (median) = \$29,136,184.00 Q3 =
\$37,060,781.50 max = \$84,273,813.00 and, the interquartile range data equaled
\$23,067,219.00.

Which
genre had greater variability in total gross income:

The action movie genre had the highest variability in
total gross income.  Out of all the movie
genres it had the most films that were released. There were big differences in
the opening gross income and how many movie theaters that these movies were
shown in.

Opening
gross mean income was less than another movie genre that had less data
collected from less films.  For example, Adventure
only had ten movies listed with data and the gross opening income was over
\$2,000,000 more than that of the action movie genre.  Due to the higher volume of action movies
that were studied, there were more probabilities that some of them would not
produce high amounts of income.  The
gross income of the action movies was the highest of all movies however the
minimum gross was also the lowest of all other genres data that was collected.