# Decision Making with Uncertainty

## Decision Making with Uncertainty

• Submitted By: Amber3434
• Date Submitted: 11/21/2010 12:54 PM
• Words: 333
• Page: 2
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Decision Making with Uncertainty

Amber L. Washington

University of Phoenix

Dr. Robert Batiste

January 11, 2010

Activity 18.1

1.

Toss
Toss12345678910H/THTTTHHHTTTProp1/1½1/3¼2/53/64/74/84/94/10
H/T
Prop

2.

[pic]

Chapter 2, Example 11 A and C

A.
C.

Chapter 3, Example 85
1. Mean= 79.90
[pic]
Median= 76.45
[pic]
Standard Deviation
[pic]

2. The summary of the distribution of the life expectancy is that it is evenly through the countries. The mean and the median are displaying that there is an even balance of the data and life expectancy for each of the countries.
B. 1. Mean=16.58
[pic]
Median=17.45
[pic]
Standard Deviation
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2. The summary of the distribution of the GDP/cap is distributed throughout the countries with the median having a higher rate then the overall average.

Activity 17.1

Chapter 17, Example 20 A and B
Range

Topic 17, Exploration 2
Mean= 631.25
Standard Deviation=25.12

2000+1600+500+366.3+200+175+135+73.7=5050
[pic]

Mean=210.17
Standard Deviation=14.50

[pic]
The values calculation in both Pennsylvania and Michigan companies allow the
comparison average in billions for each states revenue. It also shows that Pennsylvania is more lucrative in profit then Michigan.

If the largest data was removed from the Michigan data, the mean and the
standard deviations both were higher. The Pennsylvania calculations dropped as well. After removing the largest amount of revenue the states are swapped and Michigan is considered to have a higher mean in billions.

Mean=2973.63
Standard Deviation= 54.53

[pic]

Mean=1232.63
Standard Deviation=35.11

[pic]
Again the results are displaying that Pennsylvania is having a higher rate of employment for their state.