Question 1: The CEO has asked you to do some basic statistical analysis of the theaters, looking at the relationship between some basic theatre-specific/demographic factors and theatre revenue. Most of the data is fairly easy (though time consuming and expensive) to get, but some members of your team are concerned about the difficulty of quickly getting accurate and meaningful theatre revenue data for the current year. React to each of the concerns raised below:
a) Some of the theaters have really old infrastructure and are not even hooked up to our data warehouse, so to get their data will take FOREVER. Plus, with the amount of work those theatres do by hand, I'm sure there will be tons of mistakes in their data, which will just screw up our figures. For now, let's not worry about those theaters and just collect data from those who are hooked up to our network--we can get the data more quickly that way, and it's probably better data to boot.
b) Most of our theatres play first run movies, but about 25% of our theatres show second run movies and those theatres might really screw up our data. I'd suggest limiting the data analysis to our first run theatres.
c) Some movies don't make it to all the theatres, you know. It doesn't make much sense to compare the revenues of two theatres when they might be playing very different movies. Instead, we should look at revenue from a well defined subset of movies that were shown at most or all of our theatres (e.g. only the top 20 grossing films of the year).
Question 2: Ultimately you decide upon a simple random sample of 90 theatres. Use this data to:
a) create a graph that shows the distribution the different types of theatre setting (mall, strip mall, free standing)
b) create a histogram of theatre revenue
c) determine if theatre revenue is approximately normally distributed
d) generate summary statistics for theatre revenue
e) generate summary statistics for theatre revenue broken out by location (mall vs. strip mall vs. free standing)
a) Last year, your chain averaged $6,500,000 in revenue per theatre. Test (using 6,500,000 as your Null Hypothesis) whether or not revenues are up this year.
b) Recalling that your simple random sample is of 90 of the 270 theatres in your chain, calculate a 95% confidence interval for the total revenue of all 270 theatres in the chain.
Question 4: Your company is thinking of building a number of new theatres in the Carolinas and is currently trying to decide on building locations.
a) Conduct a 1-way ANOVA (and follow-up tests as needed) to see if there is a significant relationship between location (mall/strip mall/free standing) and revenue
b) What advice might you give regarding location choice?
a) Estimate a multiple regression model using revenue as your dependent variable. For independent variables, include population, average income, screens, and dummy variables for mall and strip mall. Interpret your results!
b) Based on your results in (a), evaluate the following statements:
i) Because you only have a third of the theatres in your dataset, to interpret those estimated coefficients correctly you need to first triple them.
ii) We need more midnight showings of the hot new releases to bring up our revenue figures.
iii) Because the estimated coefficient on the number of screens is huge, we should just start building theaters with 40 and 50 screens to really start raking in the cash!
c) After presenting your initial results, your boss suggests that i) population and average income shouldn't matter, total economic activity should, and ii) age should have a non-linear effect--it takes some time before people learn that the theater is there, so early on revenues should increase with age, but after a while the theaters get run down and thus revenues start to fall with age. To consider these two effects, create two new variables: an interaction effect between population and income (which will account for total economic activity) and age squared (to capture the hypothesized non-linearity). Add these two variables to the model estimated in part (a) of this question and estimate the new model.
d) How does this model compare to the one from (a)? Do your new results vindicate or run contrary to your boss's suggestions? Why or why not?
Shortly after reading this report, the CEO confides in you that he is thinking of expanding abroad by purchasing a small chain of theatres in Quebec, Canada. Because this chain is privately held, he does not have access to things like their annual financial reports. However, data of the sort here (demographics, theatre size, etc) are publically available, and he has given those to you. Data on all of the theatres owned by this firm can be found in the tab Target Company. He is wondering if your results you showed him might be useful in figuring out the annual revenue figures for the Canadian theatre chain.
a) Use the data in the tab Target Company. Use your results from question 5c to estimate the revenue of the target firm.
b) Was what you did in part (a) a good idea? Why or why not?
The solution provides step by step method for the calculation of descriptive statistics, testing of hypothesis, confidence interval, ANOVA and Multiple regression analysis. Formula for the calculation and Interpretations of the results are also included. Interactive excel sheet is included. The user can edit the inputs and obtain the complete results for a new set of data.
Porter diamond framework and business strategy
1) (Apply the Pestel factors from PESTEL order to identify the support for the industry (Porter's diamond model) by the nation and the relevant market boundaries (or what factor causes a customer to prefer one competitor over the other) http://www.westga.edu/~bquest/1997/ecnmkt.html
In other words: based on the Pestel analysis - create the Porter's diamond model (about NATION) analysis for the industry. When analyzing the demand conditions include the relevant market boundaries based on your Pestel analysis.)
YOUTUBE PESTEL Analysis
• 1. Political instability in many countries
• 2. Changes in current legislation
3. Policies for foreign investors
4. Proper security of local and foreign firms
5. Relationship between nations
6. Wars and conflicts Economical
1. Home economy
2. Economy trends in overseas economies
3.GDP and purchasing power of customers
4. Interest/ exchange and inflation rates
5. International trade and monetary issues
6. Investment opportunities and trade balance Social
1. Demographic changes including sex ratio, population density, and majority people age, etc.
2. Cultural and traditional changes
3. Educational and language differences
4. Social safety and benefits
5. Consumer attitudes and opinions on online sites
6. Ethnic/religious factors
1. Technological development and innovation growth
2. Skilled resources
3. Licensing, patents
intellectual property issues
4. Adaptation of new technology
5.Research & Development Environmental
1. Environmental industrial growth
2. Consumer attitudes, opinions and support
3. Climate and natural support
4. Business environment and media support Legal
1. Improper law and legal framework related online sites.
• 2. Customer protection
• 3. Banned of several online sides due to porn, sexy, religious and nation security related videos posted on these sites
• 4. Changes in taxes
(Source: Bowhill, 2008)
As shown in the above table the main issues with the YouTube are:
1. Political: YouTube is into the business which involves video hosting related to any topic. The company is a huge video repository portal which hosts videos uploaded by any community across the globe. The main political risk with the company is the cultures and copyright issues. Any content which is of damage to one culture will lead to ban in another region. So company needs to analyze the issues before uploading the same. Also the political impact avoids company to host many controversial videos from region to region.
2. Economical: YouTube being an video hosting site is controlled by the economical aspect of the economy and GDP of the country. The main source of income for the company is the viewing hits on the videos and other advertisements hosted on the portal. If the economic conditions of the country are good then the company has huge revenues from that country leading to increase in revenues.
3. Social: The social aspect refers to the culture differences and the change of attitudes across the globe. This is the main threat for the company and YouTube needs to analyze this aspect before venturing into any new region.
4. Technological: The Company is technologically advanced and needs to innovate to be in competition and to be able to overcome any changes in the technological aspect of the industry.
5. Environmental: The main aspect of the environmental aspect in the upcoming changes in the industry growth and the media in the industry.
6. Legal: It refers to the law and order prevalent from country to country. It refers to the differences in the cultures and the legal system. Examples to support the same include the ban of porn in Muslim countries and the same is legalized in the Western countries. Also videos pertaining to use of Muslim veils in banned in few western countries.
2. Read the annual report for You-Tube create an SBU analysis based on their SBUs from their annual report: http://phx.corporate-ir.net/phoenix.zhtml?c=140690&p=irol-reportsother2. Where would you increase invests, maintain current investments, divest of current investments (or get rid of lines). What is the business level strategy for each SBU?View Full Posting Details