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…
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. However, the interquartile range of 12.37 would be a more appropriate measure of variability because the distribution is skewed and has extreme values. Once a box-plot is created, one can see the extreme values are 108.44 (Star Wars: Episode III), 102.69 (Harry Potter and the Goblet of Fire), 77.06 (War of the Worlds), 50.34 (Mr. and Mrs. Smith), 48.75 (Batman Begins), and 33.90 (Wedding Crashers).
Total Gross will demonstrate how much money a movie has earned overall. This can serve as an indicator of which types of movies will resonate with movie-goers and do well in the future. This could also serve as a guide of whether to make a sequel and if it would or would not maximize profits. As with the opening gross, total gross also has a right tail, therefore, median would be a more appropriate central tendency measure than the mean. The median total gross was 5.85, indicating 50% of the total gross values were less than 5.85 and 50% were above 5.85. The range of total gross was 380.15; from 0.03 to 380.18 and the standard deviation was 63.16. Again, the interquartile range of 47.03
would be a more appropriate measure of variability due to the skewness. Based on the box-plot, extreme values were 380.18 (Star Wars:
The histogram has one spike that shows that high concentration of data values is below this point. This histogram might be representing a seasonal product, which customers are ordering high volume of product until they run out and order one more time. Also it might be showing the histogram of a car brand were less expensive cars are sold frequently, but in average the middle range cars are bringing to the company more capital and high luxury cars are sold more expensive and less frequently.
The volatility we used is the industry volatility approximated from the standard deviation of returns from 99 movies’ sequel. When we are evaluating a quoted price of a sequel right, 9.2728 will be a good bench mark. According to our simple NPV analysis, we would reject the
Theoretically from the recorded data the calculated mean, median, and mode will be the most accurate representation of the real world value. The difference between the highest recorded value and lowest recorded value is the range in the set of data. Standard deviation (s) is a quantity calculated to indicate an extend of deviation for a group of data as a whole (Marshall). This is calculated using:
Standard Deviation of Mean= 0.4762Standard Deviation of Median= 0.7539The standard deviation of the Mean is smaller, which means all of the data points will tend to be very close to the Mean. The Median with a larger Standard Deviation will tend to have data points spread out over a large range of values. Since the Mean has the smaller value of the Standard Deviations, it has the least variability.
Standard Deviation for the mean column is 0.476Standard Deviation for the median column is 0.754Standard deviation for the mean column has least variability
This essay explores the popularity of Australian film, both locally and internationally and asks the question: Is there a crisis in the Australian Film Industry? This essay will go through the current issues the Australian Film Industry and will demonstrate examples of those problems.
The coefficient of variation is in the “fair” range for data consistency, for all quartiles except the top quartile which is in the “good” range. (Gardner, 2012)
-The shape of both data sets fall within the rule of thumb estimate and that actual standard deviation. There is a much high range for both and that is because there are several data samples that fall outside of the standard deviation.
The Australian film industry is currently in a point of crisis due to the lack of audiences attending Australian films, hence creating a decline in the revenue received towards our national industry. However, this is not due to the lack of creative talent, it is rather the many underlying issues that don?t allow the Australian public with the awareness and accessibility of these films. These problems are within the distribution, marketing and funding of these Australian films, allowing the national Australian community to not seek for films made by people within their nation due to negative pre-conceived notions and the convenience of going to see a Hollywood Blockbuster. These issues are seen through the poor release of both critically received films, Jennifer Kent?s The Babadook (2014) and Hugh Sullivan?s The Infinite Man (2014), both not gaining a wide audience. Through these issues within the industry, Australian filmmakers have not been able to create the revenue needed for these films to branch out to be easily attained by the public.
Motion pictures are a key driver of the market for entertainment products, one of the largest export markets in US. Motion picture industry consists of three stages: studio production, distribution, and exhibition. The studios produce the lifeblood of the industry, the films that are its content. The biggest players at this level are the majors, big studios which integrate production and distribution, as do the slightly smaller mini-majors. The next stage is distribution. Distributors are the intermediaries between the studios and exhibitors. Distribution entails all steps following a film’s artistic completion including marketing, logistics, and administration. Distributors coordinate the manufacture and distribution of
4. The bargaining power of buyers: The outlook for the target market isn’t favorable for the movie industry because it will not be growing as fast as the overall population. Buyer power is a strong force because of the target market and several other factors including: the undifferentiated product offered, switching to an alternative is simple and low cost, and customers can stay home and watch movies. The consumers are also complaining about concession and ticket costs, along with the advertisements before the film is shown.
The film industry has continuously changed since its inception due to rapid technology advancements. Camera technology has been a key factor that has influenced the growth of filmmaking. The first motion picture in the world was produced in the early 1880s, and the first public screening occurred ten years later. It didn’t take long for the quality of films to improve as new filmmaking equipment emerged. Ever since the first movie was produced, the film industry has been continuously changing in response to emerging filmmaking technology. Introduction of digital photography and digital data storage along with the development of internet significantly influenced the film industry (Barsam, 2015). These technologies contributed
The film industry has always been somewhat of a dichotomy. Grounded firmly in both the worlds of art and business the balance of artistic expression and commercialization has been an issue throughout the history of filmmaking. The distinction of these two differing goals and the fact that neither has truly won out over the other in the span of the industry's existence, demonstrates a lot of information about the nature of capitalism.
The costs, methods of distribution, and themes of Hollywood and Nollywood films reflect strongly their target audiences; how the target audience affects the production of a film and how the production of a movie is designed to capture a specific
These represent the range of the sale price. Lastly, I used the formula to get the standard deviation 48,945.28, which measures the variability.