This assignment will submit it in TURNITIN so please don't copy anything all from the internet.
Download the instructions for the case. Then, if appropriate, click on the web link to download the data set for that case.
Write a report in Microsoft Word pasting in graphs and charts from Excel as appropriate while being sure to answer all of the ?managerial report? questions posed to you about the case.
Expected length of the report will vary by chapter. Suggested length will be included in the instructions for each report.
All-Time Movie Box Office Data
The motion picture industry is an extremely competitive business. Dozens of movie studios
produce hundreds of movies each year, many of which cost hundreds of millions of dollars to
produce and distribute. Some of these movies will go on to earn hundreds of millions of dollars
in box office revenues, while others will earn much less than their production cost. Data from
fifty of the top box office receipt generating movies are provided in the file ?Ch3 Top50Movies?.
The categorical variables included in the data set for each movie are the rating and genre.
Quantitative variables for the movie?s release year, inflation- and noninflation-adjusted box
office receipts in the United States, budget, and the world box office receipts are also included.
Use the data visualization methods presented in this chapter to explore these data and discover
relationships between the variables. Include the following, in your report:
1. Create a scatter chart to examine the relationship between the year released and the
inflation-adjusted U.S. box office receipts. Include a trendline for this scatter chart.
What does the scatter chart indicate about inflation-adjusted U.S. box office receipts
over time for these top 50 movies?
2. Create a scatter chart to examine the relationship between the budget and the
noninflation-adjusted world box office receipts. (Note: You may have to adjust the data
in Excel to ignore the missing budget data values to create your scatter chart. You can
do this by first sorting the data using Budget and then creating a scatter chart using only
the movies that include data for Budget.) What does this scatter chart indicate about
the relationship between the movie?s budget and the world box office receipts?
3. Create a frequency distribution, percent frequency distribution, and histogram for
inflation-adjusted U.S. box office receipts. Use bin sizes of $100 million. Interpret the
results. Do any data points appear to be outliers in this distribution?
4. Create a PivotTable for these data. Use the PivotTable to generate a crosstabulation for
movie genre and rating. Determine which combinations of genre and rating are most
represented in the top 50 movie data. Now filter the data to consider only movies
released in 1980 or later. What combinations of genre and rating are most represented
for movies after 1980? What does this indicate about how the preferences of
moviegoers may have changed over time?
5. Use the PivotTable to display the average inflation-adjusted U.S. box office receipts for
each genre?rating pair for all movies in the dataset. Interpret the results.
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