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 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 motion picture was in the top 60 of the gross sales. Introduction I would define the term Motion Picture industry 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 motion picture industries each year.
Also, to really figure out how the common variables used can interrelate helping in maximizing the success of the company. The evaluation is based on a 100 sample of motion pictures produced in year 2005. . However, the main aspects that are used to measure the success are the gross sales, total sales, the number of theaters the film is shown in and the number of weeks the picture was in the top 60. Method A survey was been carried out. And it is based on a historical data.
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Cement Cement is a binder, a substance that sets and hardens independently, and can bind other materials together. The word “cement” traces to the Romans, who used the term opus caementicium to describe masonry resembling modern concrete that was made from crushed rock with burnt lime as binder. The volcanic ash and pulverized brick additives that were added to the burnt lime to obtain ...
Where out of all the motion pictures realized in 2005, 100 samples of those films were picked and just noted down their gross sales, the total gross sales, the number of theaters and the number of weeks the movie was in the top 60. These were all been recorded so the person responsible for collecting the data just jot down their figures under the selected variable against the movie. Then I excel to compute the data using data analysis to get the figures outlined below. Result Here is presented the summary statistics of the descriptive statistic. Variable| n| Mean| Median| St.
Deviation| Opening Gross| 100| 9. 37432| 0. 3935| 18. 8747| Total Gross| 100| 33. 0384| 5. 852| 63. 16469| # of theater| 100| 1277. 94| 410| 1378. 8689| # of weeks in Top60| 100| 8. 68| 7| 6. 389512| Assuming that distribution of the success is a normal distribution (bell-shape).
That is approximately 68% of the scores in the sample fall within one standard deviation of the mean. On the other hand approximately 95% of the results in the sample fall within two standard deviation, whereas around 99% of results in the sample fall within three standard deviation. Conclusion
