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Extra info for Business Statistics for Competitive Advantage with Excel 2007: Basics, Model Building, and Cases
Demand depended on bottles per customer, as well as share of bottles sold on campus. They were unsure whether they would be successful in capturing five percent share of bottled water sold on campus, but this was the best estimate. With their sample estimate of demand and their assumptions about demand and market share, they want to know the chances that demand would exceed 500,000 bottles in the first year. The Team decided to use a Monte Carlo simulation to incorporate both demand and share uncertainty and their assumptions into their forecast and decision.
If the null hypothesis were true, it would not be unusual to observe the data. The conclusion of insufficient demand H0 cannot be rejected. The Team recommends halting development. 05 . . if the null hypothesis were true, it would be unusual to observe the data. Reject the null hypothesis and accept the alternate conclusion H1 of sufficient demand. The Team recommends proceeding with development. Each team used software to test the hypothesis that demand exceeds seven. 9 bottles per person per week.
Quantitative or categorical). 3 Descriptive statistics (central tendency, disperson, graphics) for two types of data If continuous data are Normally distributed, we can completely describe a dataset with just the mean and standard deviation. We know from the Empirical Rule that 2/3 of the data will lie within one standard deviation of the mean and that 95% of the data will lie within two standard deviations of the mean. 1 Produce descriptive statistics and view distributions with histograms Executive Compensation.