Quantitative Business Analysis, Applied Statistics

Assignment Help:
Motion Picture Industry (95 Points)

The motion picture industry is a competitive business. More than 50 studios produce a total of 300 to 400 new motion pictures each year, and the financial success of each motion picture varies considerably. The opening weekend gross sales, the total gross sales, the number of theaters the movie was shown in, and the number of weeks the motion picture was open are common variables used to measure the success of a motion picture. Data collected for a sample of 100 motion pictures produced in 20XX are contained in the file named Movies. Use all 100 data points.

Managerial Report

Prepare a report (see below) using the numerical methods of descriptive statistics presented in this module to learn how the variables contribute to the success of a motion picture. Be sure to include the following three (3) items in your report.

1. Descriptive statistics (5-number summary, mean, mode, range and standard deviation) for each of the four variables along with an explanation of what the descriptive statistics tell us about the motion picture industry.

2. What motion pictures, if any, should be considered high-performance outliers in each of the four variables? If there are any outliers in any category, please list them and state for which category they are an outlier. Describe which method you used to determine if there were or not.

3. Descriptive statistics (correlation coefficient) showing the relationship between total gross sales and each of the other three variables. Please provide an explanation of the relationships.

Write a report that adheres to the Written Assignment Requirements under the heading “Expectations for CSU-Global Written Assignments” found in the CSU-Global Guide to Writing and APA Requirements. As with all written assignments at CSU-Global you should have in-text citations and a reference page.

Be sure that your report contains the following:

•A title page
•An introduction
•A body of the paper that answers the questions posed in the problem and calculations and graphs associated with this problem.
•A conclusion paragraph that addresses your findings and what you have determined from the data and your analysis.
Be sure to submit your Excel file as well.

Related Discussions:- Quantitative Business Analysis

Chi-square analysis, Chi-square analysis can be used with both Goodness-of-...

Chi-square analysis can be used with both Goodness-of-Fit Tests and with Tests for Independence. There are specific instances when each test should be used based on the information

Effect in frequency domain, A) The three images shown below were blurred us...

A) The three images shown below were blurred using square masks of sizes n=23, 25, and 45, respectively. The vertical bars on the le_ lower part of (a) and (c) are blurred, but a c

Stata question, i am new to stata and i am trying to figure out how to calc...

i am new to stata and i am trying to figure out how to calculate expected growth of sales tax revenue as well as average growth rate of sales tax revenue in stata. I have a dataset

Chi square test for more than two rows, Using Chi Square Test when more tha...

Using Chi Square Test when more than two Rows are Present   To understand this, let us consider the contingency table shown below. It gives us the information about the stage

calculate the test statistics, A manufacturer has received complaints that...

A manufacturer has received complaints that aging production equipment is forcing workers to work overtime in order to meet production quotas. Historically, the average hours worke

Calculating 40th percentile in ogive graph, how do i determine the 40th per...

how do i determine the 40th percentile in an ogive graph

Business forecasting, Meaning and Definitions of Business Forecasting T...

Meaning and Definitions of Business Forecasting The problem of business  forecasting  refers to the  analysis  of the past and  present economic  conditions. With  the objectiv

Regression, Regression line drawn as Y=C+1075x, when x was 2, and y was 239...

Regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd