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# ThermoStar Business Analysis, May 2010

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Kaplan University MBA Program, Business Analytics

Kaplan University MBA Program, Business Analytics

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### Transcript

• 1. ThermoStarh Business Analysis by Cathie Tedrick GB 513 - Business Analytics Instructor: Caroline Beam, PhD Kaplan University May 2010
• 2. Sales Percent of Sales 45 40 35 30 25 20 15 10 5 0 Alpha Beta Gamma 41.3 38.4 20.3We see by calculating the percent of sales for each model that both Alphaand Beta models are almost equal in their percent of the total with acombined total of nearly 80 percent. This equates to total sales of\$21.8Mand \$20.3M respectively.The Gamma model, however, is barely at 20 percent of the total sales, onlybringing in \$10.7M in total sales. 1
• 3. QualityFreq Freq σ=2 σ=2 %? .62% 65 70 -2.5 0 Quality Test z-scores In analyzing the quality of the thermostats being manufactured, the data mean, standard deviation and cutoff value was used to calculate a z-score. Assuming that the data is normally distributed, the z-score shows that determine that only .62% of thermostats will fall below the inspectors cutoff of 65 and need to be recalibrated. 2
• 4. Cost Total Sales (K Units) Line Fit Plot 1.80 1.60 1.40 1.20Total Costs \$M 1.00 Total Costs \$M 0.80 Predicted Total Costs \$M 0.60 Linear (Total Costs \$M) 0.40 0.20 0.00 0 5 10 15 20 25 30 35 Total Sales (K Units) The above plot chart shows that the Predicted Total Cost \$M can be used with a 95% confidence in determining Total Costs \$M. 3
• 5. Resources All information and explanation of data manipulation was garnered from MBA Fundamentals Statistics:Business Basics for the Real World by Paul W. Thurman, MBA