# Statistic Case Analysis

Assignment Requirements

Please follow the instructions in word document file. Please show all calculations in excel. Present the findings on PPT (PowerPoint).
The report should be written in 12-point font with 1.5 line spacing(where applicable).
In Part B, You are required to read an article published in Harvard Business Review and obtain relevant data from the article to complete number of short answer questions.

Part B: ‘Colonial Broadcasting Company’ (50 marks)
For the part B of the final project, you will be analysing a Harvard Business Review case listed below and preparing a PowerPoint presentation to present your findings. To assist you in your PowerPoint preparation, you will also be required to use Exceland to show your workings on a separate worksheet (require to submit). Additional information, which may assist in marking your assignment, can be included in a separate word file (optional but recommended).

In reference to the article below, please note that you are required to answer the questions below, rather than those listed in the case study (i.e. ignore everything in the case after the end of page 6). Wu, G, ‘Colonial Broadcasting Company’, HBS Premier Case Collection, November 1993.

Part B questions
The executives at CBC want to see how they are doing in ratings against the other networks and how the ratings will continue to change in the upcoming months. They also want to know if hiring celebrities makes a difference and the impact of fact-based programming compared to hiring celebrities. You will create a PowerPoint presentation to answer the questions below. Remember that your audience is the management of CBC. Make sure your presentation is professional and provides sufficient explanation.

1. Descriptive statistics (10 marks)
What is the average rating for all CBC movies? How about ABN movies and BBS movies? Include a table that shows the average and the other descriptive statistics for the ratings of the three networks (one column for each network). Comment on which network is doing best and what you learn from the other key metrics in the table.

2. Charting (10 marks)
Create a line graph of the monthly average ratings for CBC for the year. Note that there are multiple ratings data for the months; you will need to calculate an average for each month and then plot the averages. After you create the graph, fit a linear trend line, displaying the formula and the r-squared. Explain to the executives if, and how, you can use this time series data to forecast the ratings of upcoming months. How accurate can you expect this forecast to be?

3. Hypothesis testing (15 marks)
Should the CBC hire celebrities for their movies? To answer this question, run a hypothesis test to see if there is a significant difference between the ratings of movies with celebrities versus movies without celebrities. Use the data for CBC movies only and use a 95% confidence. Explain your answer — do not simply say yes or no without referring to the relevant figures.
4. Regression (15 marks)
CBC management has several questions: Which has more impact on a movie’s rating, one that is fact based or that it has one celebrity? How much does each of these factors change the ratings? Do you expect a fact-based movie that does not have any celebrities to get better ratings than a fiction movie with one celebrity?
Run a multiple regression where the dependent variable is ratings and the independent variables are celebrity and fact. Use data from all networks, not just CBC movies. How well does this regression analysis explain the ratings? Justify your answers based on the results.

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