Apportionment Using the Hamilton Method
Dawn Ambrose
Argosy University- On-line
MAT109 A01
Instructor: Marcus Vandiver

Apportionment Using the Hamilton Method
Using the Hamilton method of apportionment, determine the number of seats each state should receive.

Using the numbers you just calculated from applying the Hamilton method, determine the average constituency for each state. Explain your decision making process for allocating the remaining seats. As can be seen in the chart above, the additional seats were given to the states with the higher fractional parts (states # 1, 2, 3, 8 and 10). Explain how changes in state boundaries or populations could affect the balance of representation in this congress. Provide an example using the results above. The changes in state boundaries could affect the balance of representation in congress because if the population was to increase, the number of seats for the state would decrease and vice versa, if the population declined, the state could gain a seat or remain the same. How and why could an Alabama Paradox occur?

The Alabama Paradox means that if the total number of items to be apportioned increases, the group or state may loss an item. Explain how applying the Huntington-Hill apportionment method helps to avoid an Alabama Paradox. The Huntington- Hill apportionment method was an equal proportions method. It had a fixed house to avoid conflict and by using a fixed house number, the Huntington- Hill method helped to avoid an Alabama Paradox. Based upon your experience in solving this problem, do you feel apportionment is the best way to achieve fair representation? Be sure to support your answer. Yes, I believe apportionment is the best way to achieve fair representation because Huntington- Hill’s method seems to be working. I agree with a set number in the house because the population is forever changing. Just because a state has fewer people, does not mean they should not have the same or close to...

...CHAPTER 14: APPORTIONMENT
I. Basics
Example 1: Suppose a country consists of five states (North, South, East, West and Central) and representation in the National Assembly should be in proportion to each state’s population. The latest census figures are:
|North | 9279 |
|South | 7217 |
|East | 5155 |
|West | 3093 |
|Central | 2062 |
|Total |26,806 |
If there are 26 seats in the...

...
Apportionment
Maranda Jackson
Instructor: Terry VanNoy
General Education Mathematics
Argosy University
2/26/2014
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Facts: The appellee was terminated from the Lovington Good Samaritan Center, Inc. on June 4, 1974. On June 12, 1974 Mrs. Mitchell applied for unemployment compensation benefits. She was initially disqualified from seven weeks of benefits by a deputy of the Unemployment Security Commission. Mrs. Mitchell then filed an appeal, and the Appeal Tribunal reversed the deputy’s decision. Mrs. Mitchell’s benefits were...

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Name of Teacher: Chandra Sekhar Mogilisetti
“Professor Lieber notes that using copper in the manufacture of coffee cups is not the wisest choice.”...

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Title: Preparation of a salt (lead iodide) by using precipitation method.
Aim: To produce 1.50 g of lead iodide, PbI2, assuming 100 % conversion, using 1.00 g solid potassium iodide, KI, and 0.1 M lead nitrate, Pb(NO3)2 solution of volume 30 cm3 and hence calculate percentage yield.
Calculations:
2KI(s) + Pb(NO3)2( aq) —> PbI2 (s) + 2KNO3 (aq)
Mass of PbI2 to be produced = 1.5 g
Moles of PbI2 = = 0.003
Moles of KI =...

...HTime series using Holt-Winters Forecasting Procedure
Summary
The Holt-Winters forecasting procedure is a simple widely used projection method which can cope with trend and seasonal variation.
We can apply this method to lots of fields such as banking data analysis, investment forecasting, inventory controlling and so on.
This paper shows us a practical banking credit card example using Holt-Winter method in Java...

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Using Microsoft Excel
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The correlation coefficient allows researchers to determine if there is a possible linear relationship between two variables measured on the same subject (or entity). When these two variables are of a continuous nature (they are measurements such as weight, height, length, etc.) the measure of association most often used is Pearson’s correlation coefficient.
This...

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