Kaplan University MBA Program, Business Analytics

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 20.3
We see by calculating the percent of sales for each model that both Alpha
and Beta models are almost equal in their percent of the total with a
combined total of nearly 80 percent. This equates to total sales of$21.8M
and $20.3M respectively.
The Gamma model, however, is barely at 20 percent of the total sales, only
bringing in $10.7M in total sales.
1

3. Quality
Freq 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 inspector's
cutoff of 65 and need to be recalibrated.
2

4. Cost
Total Sales (K Units) Line Fit Plot
1.80
1.60
1.40
1.20
Total 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