When creating a movie to release in such a competitive industry, assurance is needed that there will be a return on investment as well as that their movie will be well-received by the public and entertaining to make it a popular hit at the box office. Using a sample of 100 motion pictures from 2005 and numerical methods of descriptive statistics, including measures of location, variability, distribution shape and the detection of outliers, the motion picture industry can be analyzed more specifically in order to learn how these variables play a part in the success of a motion picture. The main concern of management in this case would be with regard to revenue, profit, and entertainment. In this case study it was found that there was a …show more content…

and Mrs. Smith).

The number of theaters can also be an indication of a movie’s popularity and potentially large profits, as movie theaters will often bring in and continue showing the most high-demand movies in order to bring in revenue to the theater. The number of theaters is also heavily skewed to the right, indicating the median would be a more appropriate measure than the mean. The median was 410, therefore 50% of the values were less than 410 and 50% of the values were above 410. The range of the number of theaters was 3905, from 5 to 3910 and the standard deviation was 1379. Due to the skewness the interquartile range of 2687 is a better measure of variability. No outliers are identified by creating a box-plot for number of theaters.

Weeks in the Top 60 will correlate with the popularity of a movie after it had been released over a period of time. Movies will continue showing if audiences consistently continue to view them after their release date, in turn, creating more revenue. As with the other variables weeks in the top 60 is also skewed to the right, meaning the median of 7 would be a more appropriate measure than the mean, indicating 50% of the variables were above 7 and 50% were less than 7. Note that because the data was not highly skewed, the mean and median were close to each other. The range of weeks in the top 60 was 26, from 1 to 27, the standard deviation was 6.39, and the