The motion picture industry is a competitive business. More than 50 studios produce a total of 300 to 400 new motion pictures each year, and the financial success of each motion picture seems to vary considerably. The opening weekend gross sales, the total gross sales, the number of theaters the movie was shown in, and the number of weeks the motion picture was in the top 60 for gross sales are common variables used to measure the success of a motion picture. Data collected for a sample of 100 motion pictures produced in 2005 are contained in the file named movies. Table 3.15 shows the data for the first 10 motion pictures in the file.

MANAGERIAL REPORT:
Use the numerical methods of descriptive statistics presented in this chapter to learn how these variables contribute to the success of a motion picture. Include the following in your report.

1. Descriptive statistics for each of the four variables along with a discussion of what the descriptive statistics tell us about the motion picture industry.

...MotionPictureIndustry
Ottawa University
Britni Skirvin
MotionPictureIndustry
Introduction
Motionpictureindustries are a very competitive business (Anderson, Sweeney & Williams, 2012). More than 50 studios produce a total of 300 to 400 new motionpictures each year, and the financial success of each motionpicture varies considerably (Anderson, Sweeney & Williams, 2012). Data was collected for a sample of 100 motionpictures produced in 2005 (Anderson, Sweeney & Williams, 2012). From this information given numerical methods of descriptive statistics are presented to show how these variables contribute to the success of a motionpicture.
Frequency Distributions/Percent Frequency. The classes for frequency distributions or percent frequency are expected to vary. The frequency distributions are as follows:
Opening Gross Sales
(Millions) Frequency
(or Percentage)
$0 – 9.99 70
10 – 19.99 15
20 – 29.99 8
30 – 39.99 2
40 – 49.99 1
50 – 59.99 1
60 – 69.99 0
70 – 79.99 1
80 – 89.99 0
90 – 99.99 0
100 – 109.99 2
Total 100
Total Gross Sales
(Millions) Frequency
(or Percentage)
$0 – 49.99 77
50 – 99.99 16
100 – 149.99 1
150 – 199.99 1
200 – 249.99...

...Through the use of numerical measure, the MotionPictureIndustry can be analyzed more specifically. Descriptive statistics can assist analyst to measure data in terms of location, variability, association between two variables, as well as using data for exploratory analysis and the shape, relative location, and the identification of outliers. The data presented offers a look at four data sets including opening gross income, total gross income, number of theaters, and weeks in the top 60 movies for a sample of 100 movies. These data sets reveal numerous findings about the motionpictureindustry that reveal useful information to an analyst.
The measure of location illustrates the location of data samples from a point of central tendency or the measure of the samples, grouped together, and there position spread across intervals. Locational measures include the mean, the median, the mode, percentiles and quartiles. The mean is the average of the date set. The median represents the middle of the group in ascending order. The mode can be various numbers in which similar numbers appear most frequently in the sample; there can be more than one mode. The percentiles and quartiles represent the position(s) that a set of numbers are grouped throughout the sample. Percentiles are defined by a particular percentages, while quartiles split the group into even quarters of 25% (Anderson,...

...III. Data Analysis
For this analysis, it was used descriptive statistics of a data set with four variables in order to describe the performance of the motionpictureindustry. First, the study involved measures of Location which include: mean, median, mode. In addition, it was analyzed measures of variability of the data set which include: variance, range, and standard deviation. Moreover, the outliers movies were identified by calculating the z-score of each variable. Finally, it was measured the association between two variables (correlation coefficient) to understand the relationship between more than one variable. Four variables were examined, and the results are described as follows:
a. Opening Weekend Gross Sales (OWGS):
From the sample data analyzed for OWGS, three outlier movies were identified: War of the World, Harry Potter and the Goblet Fire and Start Wars Episode III (3% of the data set). The graph 1 shows the trend for OWGS and the descriptive statistics results are displayed in table 1. The performance for this variable can be described as follows:
• The average OWGS is $9.37 million, however, without the outliers the average is reduced to $6.69 million, the reduction in the average was significant (-29%) due to taking out the outliers. This confirmed the distortion added to the variable by these outlier points.
• The range of OWGS goes from $0.01 million to $108.44 million, however, the median is 0.4 what...

...BU1007: CASESTUDY: MOTIONPICTUREINDUSTRY
Tittle: Evaluation of the financial success of MotionPictureIndustries within a year
Abstract
As usual MotionPictureindustry is a commercial business that produces motionpictures like movies, documents and etc... Research has found out that more than 50 studios realize a total of 300-400 new films a year. Depending on its production the financial success of the company varies more often. So, a sample Data of 100 motionpictures have been collected which were produced 8 years ago. The main variables that are used to analyze the success of the moving pictures were the opening weekend gross sales, the total gross sales, the number of theaters the film was shown in and finally the number of weeks the motionpicture was in the top 60 of the gross sales.
Introduction
I would define the term MotionPictureindustry and business sector that includes promotion and advertisement to persuade the public to make a fast sale.
The purpose of this report serves to inform you about the evaluation that was made to find out about the financial success of the motionpictureindustries each year. Also, to really figure out how the...

...CaseProblem2: The MotionPictureIndustry
This case provides the student with the opportunity to use numerical measures to continue the analysis of the motionpictureindustry data first presented in Chapter 2. Developing and interpreting descriptive statistics such as the mean, median, standard deviation and range are emphasized. Five-number summaries and the identification of outliers are also of interest. Interpretations and insights can vary. We illustrate some below.
Descriptive Statistics
Variable N Mean SE Mean StDev Range
Opening Gross 100 9.38 1.89 18.87 108.43
Total Gross 100 33.04 6.32 63.16 380.15
Number of Theaters 100 1278 138 1379 3905
Weeks in Top 60 100 8.680 0.639 6.390 26.000
Variable Minimum Q1 Median Q3 Maximum
Opening Gross 0.0100 0.0625 0.395 12.49 108.44
Total Gross 0.0300 0.375 5.854 47.69 380.18
Number of Theaters 5.00 45.3 410 2732 3910
Weeks in Top 60 1.000 3.000 7.000 13.000 27.000
Interpretation
Opening Weekend Gross Sales. The mean opening weekend gross sales is $9.38 million. The five-number summary is .01, .0625, .395, 12.49...

...Analysis:
Ch.2 #1 - The motionpictureindustry is a competitive industry. Each year, more than 50 studios produce a total of 300 to 400 new motionpictures. This managerial report is based on data collected for a sample of 100 motionpictures produced in 2005 and will evaluate the financial success of these motionpictures by using 4 major variables – (A) Opening Gross Sales, (B) Total Gross Sales, (C) Number of Theaters, and (D) Weeks in Top 60.
(A) Opening Gross Sales−this variable indicates how anticipated and well received a movie is and how much movie the movie will earn overall.
Opening Gross Sales ($millions) | Upper Limit | Frequency | Relative Frequency | Percent Frequency |
0 - 9 | 9.99 | 70 | 0.70 | 70.00% |
10 - 19 | 19.99 | 15 | 0.15 | 15.00% |
20 - 29 | 29.99 | 8 | 0.08 | 8.00% |
30 - 39 | 39.99 | 2 | 0.02 | 2.00% |
40 - 49 | 49.99 | 1 | 0.01 | 1.00% |
50 - 59 | 59.99 | 1 | 0.01 | 1.00% |
60 - 69 | 69.99 | 0 | 0.00 | 0.00% |
70 - 79 | 79.99 | 1 | 0.01 | 1.00% |
80 - 89 | 89.99 | 0 | 0.00 | 0.00% |
90 - 99 | 99.99 | 0 | 0.00 | 0.00% |
100 - 109 | 109.99 | 2 | 0.02 | 2.00% |
Total | | 100 | 1.00 | 100.00% |
From the table and histogram of A shown above, we notice that 70% of the movies earned
less than $10 million of gross sales during...

...The motionpictureindustry is a competitive, multi-billion dollar industry involving production crews, marketing crews, actors, directors, distribution companies, movie theaters, and movie rental companies. Four variables are commonly used to measure the success of a motionpicture; these variables include the opening weekend gross sales, total gross sales, number of theaters showing the movie, and weeks in the top sixty of gross sales. Using a sample of 100 motionpictures from 2005 and numerical methods of descriptive statistics, one can learn how these variables play a part in the success of a motionpicture.
Opening Weekend Gross Sales
After calculating several central tendency measures (mean, median, and mode), one can create a histogram and see the opening weekend gross sales are heavily skewed to the right. The median opening gross sales of 0.39, indicating 50% of the opening gross sales values were less than 0.39 and 50% were greater than 0.39, would be a more appropriate central tendency measure than the mean due to this skewness (3.43). The range of opening gross sales was 108.43, from 0.01 (Caterina in the Big City) to 108.44 (Star Wars: Episode III), and the standard deviation was 18.87 (√356.2544). However, the interquartile range of 12.37 would be a more appropriate measure of variability because the distribution is...

...
Case Study #1 – MotionPictureIndustry
Opening Gross Sales
Opening Gross Sales ($millions)
(Percent) Frequency
0 - 9.99
70
10 - 19.99
15
20 - 29.99
8
30 - 39.99
2
40 - 49.99
1
50 - 59.99
1
60 - 69.99
0
70 - 79.99
1
80 - 89.99
0
90 - 99.99
0
100 - 109.99
2
Total
100
Interpretation: There is a declining trend in the frequency of movies as opening gross sales increase. The majority of the movies, 70 %, have an opening gross of less than 10 million, and very few – one or two equaling 7%– have an opening gross of more than 30 million. From the data, it can be expected that an average movie will have an opening gross of 9.99 million or less. It is also evident that it is extremely rare for a movie to have opening sales of 100 million or more; only 2% of the movies achieved this mark.
Total Gross Sales
Total Gross Sales ($millions)
(Percent) Frequency
0 - 49.99
77
50 - 99.99
16
100 - 149.99
1
150 - 199.99
1
200 - 249.99
3
250 - 299.99
1
300 - 349.99
0
350 - 399.99
1
Total
100
Interpretation: Again, the frequency of movies has a declining trend as total gross sales increases. A monumental 77 percent of all the movies had total gross sales less than 50 million, and an even more impressive 93 percent had total gross sales less than 100 million. On average, a movie could be expected to earn between 0 and 99.99...

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