BU1007: CASESTUDY: MOTION PICTURE INDUSTRY Tittle: Evaluation of the financial success of Motion Picture Industries within a year Abstract As usual Motion Picture industry is a commercial business that produces motion pictures 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 motion pictures have been collected
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Through the use of numerical measure‚ the Motion Picture Industry 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
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Case 1 – Motion Picture Industry Group 2 Chapter 3 Managerial Report 1. Descriptive statistics for each of the four variables along with a discussion of what the descriptive statistics tells us about the motion picture industry. In the motion picture industry‚ it is important to measure the opening gross‚ total gross‚ number of theaters displaying the movie‚ and the weeks the movie stayed in the top 60. Opening Gross- this variable informs movie makers how anticipated and well received a
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School of Management Research in Motion (RIM) By Gbolade O. Soneyin gsoneyin@my.keller.edu (770) 598-5006 NETW-583-18552 Strategic Management of Technology Professor John Lambrou Friday‚ January 24‚ 2015 Abstract BlackBerry Limited‚ formerly known as Research in Motion (RIM)‚ was a key player in the smartphone market. Created by two friends in 1984‚ it grew to become one of the leading manufacturers of applications and hardware for the mobile phone industry. Through services development
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The motion picture industry 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 motion picture; 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 motion pictures from 2005 and numerical
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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 motion picture industry. 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
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This is a report addressing to Research In Motion (RIM)’s board of directors’ request to review its vision and mission statements and to evaluate of how well RIM’s resource strengths and competitive capabilities match the industry’s key success factor. 1. Vision and Mission Statement Identification Upon research‚ there is no information regards on any vision and mission statement pre-developed by RIM. However‚ to bring RIM success to a higher level‚ we suggest you to look into our
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Analysis: Ch.2 #1 - The motion picture industry is a competitive industry. Each year‚ more than 50 studios produce a total of 300 to 400 new motion pictures. This managerial report is based on data collected for a sample of 100 motion pictures produced in 2005 and will evaluate the financial success of these motion pictures 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
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Case Problem 2: The Motion Picture Industry This case provides the student with the opportunity to use numerical measures to continue the analysis of the motion picture industry 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
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Research in Motion Porter’s Five Force Porter’s Five Force Model There are some different approaches available when measuring the profitability in a market‚ or industry. I choose to use the model by Michael E. Porter‚ where the profitability potential of an industry‚ described as the long run return on investment‚ is reliant on the degree of competition in the selected industry. The five forces that Porter mentions are; threat of entry‚ supplier power‚ buyer power‚ threat of substitutes and industry
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