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Part OneYour task is to identify a business problem which can be solved by one of the following techniques: Decision theory, regression, forecasting, inventory and linear programming. Prepare a report to the management stating clearly the problem you are tackling, the data source, the technique applied, the optimal solution (with process reaching the solution, tables and graphs), the appropriate course of action and recommendation. If you are not working in a business organisation, your case study can be a report on forecasting (e.g. sales forecasting, market share, etc, etc) or a regression estimation for a listed company . We will have a discussion on topic selection in Week 1 tutorial. Part One of Case Study 2 will be submitted in two copies: one copy for marking and the second copy for your peer to be used for their Part Two of the Case Study 2. No submission extension is granted. The Part One will be marked according to whether the quantitative technique applied appropriately and whether the report is prepared properly. Part Two You are the manager who received the report (from Part One). With the experience gained from Case Study 1, your task is to evaluate the report from a manager's perspective for whether the report finding serve the objective of the report purported; whether the quantitative technique achieved what supposed to be, whether recommendation can be implemented.
Lauren Moore has sold her business for $500,000 and wants to invest in condominium units ( which she intends to rent) and land ( which she will lease to a farmer).
Compare the standard deviation for the heights of males and the standard deviation for the heights of females in the class. Compare the values and explain what can be concluded based on the numbers.
Find the power of the test designed to determine if the the new safety equipment is effective when the mean percent reduction is actually 2.3%. Assume that the population standard deviation is 12% and that α is 0.02. What is the power?
Describe appropriate treatment means μ1, μ2 and μ3. After that Test for statistically significant differences between these treatment means. Set α = 0.05.
A normal population has an average of 80 and a standard deviation of 10. You select a sample of 25. Calculate the probability that the sample mean
Which of the following is true about a 95% confidence interval of the mean of a given sample:
Using the five steps of hypothesis testing and the 5% significance level (alpha), does showing the film change students' attitudes towards the chronically mentally ill?
Solve the following questions involving fundamental operations on polynomials. Solve the following problems involving applications of polynomials.
A researcher wishes to estimate with 99% confidence, the proportion of adults who have high-speed Internet access. Her estimate must be accurate within 2% of the true proportion.
A random sample of 95 printers discovered that 20 of them were being used in small businesses. Find the 95% limit for the population proportion of printers that are used in small businesses.
The average amount of time between a score by either team in college soccer games is 15.2 minutes.
Their probabilities for success on a single play are p for A and q for B, and successive plays are independent. Determine the probablity that A wins the contest given A plays first.
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