Movie Case Study Essay Essay

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This instance survey is comprised of a sample of one 100 films with the following four variables: gap gross gross revenues. entire gross gross revenues. figure of theatres. and hebdomads in top 60. The four variables are used to analyse the gesture image industry. and demo the descriptive statistic of the variables and to analyse the consequences. The consequences will demo the high public presentation outliers of the gesture image industry and why. The correlativity between entire gross gross revenues and each variable will be shown and will be accompanied by X. Y spread graphs.

At completion of this instance analyze the reader will understand the undermentioned descriptive statistics mean. standard divergence. sample divergence. and scope for all four variables. and the correlativity between entire gross gross revenues and each variable. Opening gross gross revenues is the first variable ; there is a immense spread between the highest value of 108. 44 and the lowest value of 0. 01 ( Millions ) . This spread can be attributed to consumer’s reaction to advertizements of the film.

This higher the value the more aroused consumers are to watch the film due to popularity or successful advertisement. nevertheless the lower the figure the less a consumer is excited to watch the film which could be because of hapless selling or could simple be a bad film. * The first descriptive statistic is the mean which is the mean value of opening gross gross revenues. The mean of opening gross gross revenues is 9. 37432 ; this means that the mean opening gross gross revenues for a film is over nine million dollars. This statistic could be used to measure the success of a peculiar film compared to the mean. The following descriptive statistic to look at is standard divergence which shows the sum of scattering from the mean.

The standard divergence for opening gross gross revenues is 18. 8747. this shows that there is a divergence of over 18 million dollars compared to the mean of the film industry. * The 3rd descriptive statistic is sample discrepancy which shows the scattering of Numberss within a set of sample informations. The sample discrepancy for opening gross gross revenues is 356. 2544 ; this shows the immense discrepancy between the films. this relates to popularity of films and the two extremes of successful and unsuccessful films. The last descriptive statistic is the scope which is the difference between two extremes. The scope for opening gross gross revenues is 108. 427 ; the scope continues to demo the highs and depressions of the film industry as the minimal value for the films is so low it barely affects the maximal figure.

The 2nd variable is entire gross gross revenues this is similar to opening gross gross revenues because there is a really large difference between the best merchandising film and the least selling film one time once more due to popularity. However some films that did non hold the best gap gross revenues have ended with better entire gross revenues. The mean for entire gross gross revenues is 33. 0384. this shows that the mean entire film gross revenues is over 30 three million dollars. The film industry would utilize this to see if there films was above or below the industry norm of 30 three million. * The standard divergence for entire gross gross revenues is 63. 16469269. this show that there is a 60 three million dollar divergence between the mean. * The sample discrepancy for entire gross gross revenues is 3989. 778403. merely like opening gross gross revenues there is a big discrepancy.

This is because of immense difference between successful and unsuccessful films. * The scope of entire gross gross revenues is 380. 151 ; one time once more the scope is really high due to the lowest figure being really little in comparing. which can be characterized as an unsuccessful film. The 3rd variable is figure of theaters this variable shows how many film theaters each peculiar film is being shown in. This figure will be based on non merely the popularity of the film but besides the expected traffic of the film. * The mean of the figure of theaters is 1277. 4. this is the mean figure of theaters the films are shown in. * The standard divergence of the figure of theaters is 1378. 689 this shows the divergence from the mean which is because of some films that are shown in a big sum of theaters and some films are merely shown in a few film theaters.

* The sample discrepancy for the figure of theaters is 1900785. this can be besides attributed to the popularity of films some being really popular and shown in a big sum of theaters and some less popular and merely being shown in a few film theaters. The scope of the figure of theaters is 3905. one time once more the lowest value is really low and barely effects the highest value. So this shows the difference between the films that are shown in the most theaters and the films that are shown in the least theaters. The 4th variable is figure of hebdomads in top 60 ; this variable shows the degree of popularity of the film and how long it remained in the top 60 most popular films. This variable has the least correlativity with entire gross gross revenues.

* The mean of figure of hebdomads in top 60 is 8. 8. which means the mean sum of clip a film spends in the top 60 which would round up to nine hebdomads. if a film spent less than nine hebdomads in the top 60 it would be considered as below norm and if it was supra nine hebdomads it would be considered as above norm. * The standard divergence of figure of hebdomads in top 60 is 6. 389511608 this shows a scattering of six from the mean. * The sample discrepancy of figure of hebdomads in top 60 is 40. 82585859 ; the discrepancy is the smallest of all the variables because the Numberss are much lower.

In today’s film industry it is hard for a film to remain in the top 60 because of the intense competition. * Then scope of figure of hebdomads in top 60 is 26. once more this is the lowest figure because of how hard it is to remain in the top 60 for a drawn-out period. The films I think should be considered as high public presentation outliers are Star Wars: Episode III. and Harry Potter and the Goblet of Fire. Star Wars: Episode III is a high public presentation outlier because it excels in all classs such as entire gross gross revenues. opening gross gross revenues. and hebdomads in top 60.

Harry thrower and the Goblet of Fire is besides a High public presentation outlier because it is a close second to Star Wars. as it besides performs good in opening gross gross revenues. entire gross gross revenues. and hebdomads in top 60. The correlativity between entire gross gross revenues and opening gross gross revenues is 0. 964251784 which means that they extremely related to each other. This means that a film that does good in opening gross gross revenues is extremely likely to make good in entire gross gross revenues. The correlativity between entire gross gross revenues and figure of theaters is 0. 09858186 this means that they have an above norm correlativity so the higher a films entire gross gross revenues the more film theatres it will by and large be shown in.

The correlativity between entire gross gross revenues and hebdomads in top 60 is 0. 525394855 this is the lowest correlativity and shows that some film that do non needfully hold a high entire gross gross revenues are still able to remain in the top 60. for a long period of clip such as “The Wild parrots of Telegraph Hill” this film had low entire gross sale of 2. 1 but still managed to remain in the top 60 for longest period of clip 27 hebdomads. for the most portion entire gross gross revenues and hebdomads in top 60 are unrelated. This instance survey has been based on a sample of 100 films and has shown the descriptive statistic for each variable. the relationships between the variables. and the correlativity between entire gross gross revenues and each other variable. Throughout the instance survey there is a direct relationship between the movie’s opening gross gross revenues and the overall success of the film.

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