Comma Separated Values - Movies in R Studio - Data Analytics Assessment Answer

Assessment Task:

Data Analytics Assessment Answer

1. Download the Movies comma separated values (CSV) file from Course Documents. Import this data set into a data frame called Movies in R Studio. Place a screenshot of the data successfully loaded in R Studio into a Word document and label it appropriately.

2. Conduct a one-way ANOVA to determine if a movie’s MPAA Rating (e.g. G, PG, PG-13, etc.) has a statistically significant impact on the movie’s worldwide box office revenue. Place a screenshot of your ANOVA results in your Word document and explain whether or not there is any evidence that rating impacts worldwide revenue, using specific evidence from your ANOVA results.

3. Repeat your ANOVA to determine if your findings in Step 2 are consistent when only considering domestic box office revenue. Place a screenshot of your ANOVA results, and explain any differences between worldwide and domestic revenues.

4. Suppose you are a movie producer and you make a new movie that you want to distribute. You are approached by Warner Brothers® (WB) and Buena Vista® (BV). Both studios are interested in distributing your movie, and you want to pick the studio that is likely to earn you the most money. Conduct an ANOVA to determine if picking one studio or the other will make a difference in terms of your worldwide revenue. In your Word document, answer the following questions:

a. Does picking WB or BV make a difference in worldwide revenue, based on these studios’ revenues for the movies in the Assignment data set?

b. Which studio would you pick if it does make a difference? Why?

c. Suppose the Weinstein Company® (Wein.) approaches you and expresses interest in being your distributor. Based on the data, would you
change your answer to 4b, above? Why or why not? (use options(max.print=1000000) in R Studio if you cannot see all of your pairwise comparisons)

d. If you were approached only by Warner Brothers and Weinstein, which would you pick and why? Support your response with data from your
ANOVA.

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