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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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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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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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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Visual – Dr Daniel Chandler MC10220 Matthew Ruckwood 03/05/2005 The Perception of Motion Pictures “Why‚ when we look at a succession of still images on the film screen‚ are we able to see a continuous moving image?” During the late 1970s and early 1980s a small group of film scholars radically broke away from the time-honoured explanation of how the human eye (and mind) perceived the apparent motion in cinema. They abandoned the notions of ‘persistence of vision’ and the Phi phenomenon
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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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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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which it was presented in these movies made the MPAA give it an NC-17 rating. The MPAA found it offensive and inappropriate. The violence‚ some of it quite gruesome‚ was seen as less offensive and inappropriate according to the MPAA. Despite their best efforts in trying to protect children and what they’re subjected to‚ the MPAA is utterly useless. The internet provides easy access to pornography and other sexual content by the click of a mouse. The boundaries made by the MPAA in regards to sexual
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Assignment No. 2 September 23‚ 2014 Case Study: Motion Picture Industry Course: ‐Statistics Professor: Homayoun Khamooshi‚ Ph. D. Team Members: Selena El Hajji Cristina Brain Vizcarra Mandatory Integrity Document for MSPM Team Projects Cristina Brain Vizcarra: “I am satisfied that the contribution made by each team member warrants a full share of the credit for this work‚ and I affirm that I have completed this assignment in accordance with the Code of Academic Integrity
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Case Study: YouTube‚ the Internet‚ and the Future of Movies Question 1 The movie industry was face with competitive forces that made the industry unattractive. The threat of substitutes was extremely high. This was because the increased levels of high speed Internet made downloading easier and faster‚ which made pirating movies easier. This increased the threat of substitutes because consumers were no longer buying movies‚ the consumers started to download movies and television shows free of
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