Math for Liberal Studies.  The US Senate has 100 members: two for each state  In the US House of Representatives, states are represented based on population.

Slides:



Advertisements
Similar presentations
Mathematics of Congressional Apportionment David Housman Goshen College.
Advertisements

How are the number of seats per state assigned by the Constitution?
Chapter 15: Apportionment Part 4: Apportionment History.
+ Apportionment Ch. 14 Finite Math. + The Apportionment Problem An apportionment problem is to round a set of fractions so that their sum is maintained.
The Apportionment Problem Section 9.1. Objectives: 1. Understand and illustrate the Alabama paradox. 2. Understand and illustrate the population paradox.
Those Dynamic Fractions
1 How the Founding Fathers designed algorithms for assigning fair representation for the new United States of America How Will the Next Congress Look?
§ The Apportionment Problem; Basic Concepts “The baby legislature would be cut in half, creating a unique bicameral structure, consisting of.
4.1 Apportionment Problems
Other Paradoxes and Apportionment Methods
Dividing Polynomials.
Binary Arithmetic Math For Computers.
Chapter 14: Apportionment Lesson Plan
Fairness in Apportionment How do you decide whether a method for apportioning representatives is fair?
Chapter 15 Section 4 - Slide 1 Copyright © 2009 Pearson Education, Inc. AND.
Chapter 15: Apportionment
Discrete Math CHAPTER FOUR 4.1
Copyright © 2009 Pearson Education, Inc. Chapter 15 Section 3 - Slide Election Theory Apportionment Methods.
Chapter 15: Apportionment Part 1: Introduction. Apportionment To "apportion" means to divide and assign in proportion according to some plan. An apportionment.
Dividing by Decimals. Dividing decimals is a lot like dividing by a whole number. There is just one thing you need to remember before dividing: You have.
Chapter 14: Apportionment Lesson Plan
§ Adams’ Method; Webster’s Method Adams’ Method  The Idea: We will use the Jefferson’s concept of modified divisors, but instead of rounding.
Copyright 2013, 2010, 2007, Pearson, Education, Inc. Section 15.3 Apportionment Methods.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 14 Voting and Apportionment.
Chapter 15: Apportionment
Slide 15-1 Copyright © 2005 Pearson Education, Inc. SEVENTH EDITION and EXPANDED SEVENTH EDITION.
Other Apportionment Algorithms and Paradoxes. NC Standard Course of Study Competency Goal 2: The learner will analyze data and apply probability concepts.
Chapter 15: Apportionment Part 7: Which Method is Best? Paradoxes of Apportionment and Balinski & Young’s Impossibility Theorem.
Excursions in Modern Mathematics, 7e: Copyright © 2010 Pearson Education, Inc. 4 The Mathematics of Apportionment 4.1Apportionment Problems 4.2Hamilton’s.
1 CS110: Introduction to Computer Science Homework Project #1 Due to Blackboard Dropbox on October 18 11:59PM For this Homework you will implement the.
Dividing Mixed Numbers © Math As A Second Language All Rights Reserved next #7 Taking the Fear out of Math
Webster and Huntington – Hill Methods (Txt: 4.6, p. 152 & SOL: DM.9) Classwork: p. 147 (43) and p. 161 (15) Homework (day 15): p. 147 (44) and p. 161 (16)
1 Message to the user... The most effective way to use a PowerPoint slide show is to go to “SLIDE SHOW” on the top of the toolbar, and choose “VIEW SHOW”
Paradoxes of Apportionment The Alabama Paradox, Population Paradox, and the New State’s Paradox.
© 2010 Pearson Prentice Hall. All rights reserved. CHAPTER 14 Voting and Apportionment.
Chapter 4: The Mathematics of Sharing 4.6 The Quota Rule and Apportionment Paradoxes.
§ The Population and New-States Paradoxes; Jefferson’s Method.
Chapter 15: Apportionment Part 5: Webster’s Method.
Apportionment There are two critical elements in the dictionary definition of the word apportion : (1) We are dividing and assigning things, and (2) we.
Excursions in Modern Mathematics, 7e: Copyright © 2010 Pearson Education, Inc. 4 The Mathematics of Apportionment 4.1Apportionment Problems 4.2Hamilton’s.
1 Excursions in Modern Mathematics Sixth Edition Peter Tannenbaum.
Chapter 4: The Mathematics of Apportionment. "Representatives...shall be apportioned among the several States, which may be included within this Union,
Independent Practice Problem There are 15 scholarships to be apportioned among 231 English majors, 502 History majors, and 355 Psychology majors. How would.
1 How our Founding Father’s designed algorithms for assigning fair representation for the new United States of America How Will the Next Election Be Decided?
Apportionment Apportionment means distribution or allotment in proper shares. (related to “Fair Division”)
Excursions in Modern Mathematics, 7e: Copyright © 2010 Pearson Education, Inc. 4 The Mathematics of Apportionment 4.1Apportionment Problems 4.2Hamilton’s.
Apportionment So now you are beginning to see why the method of apportionment was so concerning to the founding fathers……it begs to question, why not just.
Paradoxes of Apportionment
AND.
Excursions in Modern Mathematics Sixth Edition
Hamilton’s Method of Apportionment -- A bundle of contradictions??
APPORTIONMENT An APPORTIONMENT PROBLEM:
Chapter 14: Apportionment Lesson Plan
Chapter 14: Apportionment Lesson Plan
Math 132: Foundations of Mathematics
Chapter 15: Apportionment
Chapter 15: Apportionment
Section 15.4 Flaws of the Apportionment Methods
Section 15.3 Apportionment Methods
§ The Apportionment Problem; Basic Concepts
Warm Up – 3/3 - Monday Describe in your own words the steps to each of the following fair division processes and when to use each process. Divider-Chooser.
HAMILTON – JEFFERSON - WEBSTER
Warm Up – 3/7 - Friday Find the Hamilton Apportionment for 200 seats.
Chapter 4—The Mathematics of Apportionment
Excursions in Modern Mathematics Sixth Edition
4 The Mathematics of Apportionment
Warm Up – 3/10 - Monday State A B C D E Population (millions)
Quiz.
Warm Up – 3/13 - Thursday Apportion the classes using Adams Method
Flaws of the Apportionment Methods
Presentation transcript:

Math for Liberal Studies

 The US Senate has 100 members: two for each state  In the US House of Representatives, states are represented based on population  PA has 19 representatives  Delaware has 1

 The process by which seats are assigned based on population is called apportionment  The number of seats each state gets is also called that state’s apportionment

 Consider a fictional country with four states and a representative legislature with 50 seats StatePopulation Angria80,000 Bretonnia60,000 Curaguay40,000 Dennenberg20,000 Total200,000

 Each state should get a proportion of the seats that is equal to its proportion of the total population StatePopulation Angria80,000 Bretonnia60,000 Curaguay40,000 Dennenberg20,000 Total200,000

 Divide each state’s population by the total population to get the % population StatePopulation% Pop. Angria80,000 40% Bretonnia60,000 30% Curaguay40,000 20% Dennenberg20,000 10% Total200, %

 Multiply that percentage by the total number of seats (in this case 50) to get each state’s fair share of seats StatePopulation% Pop.Fair Share Angria80,000 40%20 Bretonnia60,000 30%15 Curaguay40,000 20%10 Dennenberg20,000 10%5 Total200, %50

 Real world examples rarely work out as nicely as the previous example did  Let’s use more realistic population numbers and see what happens

 We will start the problem in the same way StatePopulation Angria83,424 Bretonnia67,791 Curaguay45,102 Dennenberg17,249 Total213,566

 Divide each state’s population by the total population to get the % population StatePopulation% Pop. Angria83, % Bretonnia67, % Curaguay45, % Dennenberg17, % Total213, %

 Multiply that percentage by the total number of seats (in this case 50) to get each state’s fair share of seats StatePopulation% Pop.Fair Share Angria83, %19.53 Bretonnia67, %15.87 Curaguay45, %10.56 Dennenberg17, %4.04 Total213, %50

 The problem is that we can’t assign a state seats… each apportionment must be a whole number! StatePopulation% Pop.Fair Share Angria83, %19.53 Bretonnia67, %15.87 Curaguay45, %10.56 Dennenberg17, %4.04 Total213, %50

 We could try rounding each fair share to the nearest whole number, but we end up with 51 seats, which is more than we have! StatePopulation% Pop.Fair ShareSeats Angria83, % Bretonnia67, % Curaguay45, % Dennenberg17, %4.044 Total213, %5051

 Named for Alexander Hamilton, who developed the method for apportioning the US House of Representatives  With Hamilton’s method, we start like we did before, and compute the fair shares

 Here are the fair shares we computed before  Round each fair share down StatePopulation% Pop.Fair Share Angria83, %19.53 Bretonnia67, %15.87 Curaguay45, %10.56 Dennenberg17, %4.04 Total213, %50

 The rounded-down fair shares are called lower quotas  Each state should receive at least this number of seats StatePopulation% Pop.Fair Share Lower Quota Angria83, % Bretonnia67, % Curaguay45, % Dennenberg17, %4.044 Total213, %5048

 Notice that now we have 2 “leftover” seats that need to be assigned StatePopulation% Pop.Fair Share Lower Quota Angria83, % Bretonnia67, % Curaguay45, % Dennenberg17, %4.044 Total213, %5048

 The states that had the highest decimal part in their fair share get priority for the leftover seats StatePopulation% Pop.Fair Share Lower Quota Angria83, % Bretonnia67, % Curaguay45, % Dennenberg17, %4.044 Total213, %5048

 The states that had the highest decimal part in their fair share get priority for the leftover seats StatePopulation% Pop.Fair Share Lower Quota Priority Angria83, % Bretonnia67, % st Curaguay45, % Dennenberg17, %4.044 Total213, %5048

 The states that had the highest decimal part in their fair share get priority for the leftover seats StatePopulation% Pop.Fair Share Lower Quota Priority Angria83, % Bretonnia67, % st Curaguay45, % nd Dennenberg17, %4.044 Total213, %5048

 The states that had the highest decimal part in their fair share get priority for the leftover seats StatePopulation% Pop.Fair Share Lower Quota Priority Angria83, % rd Bretonnia67, % st Curaguay45, % nd Dennenberg17, %4.044 Total213, %5048

 The states that had the highest decimal part in their fair share get priority for the leftover seats StatePopulation% Pop.Fair Share Lower Quota Priority Angria83, % rd Bretonnia67, % st Curaguay45, % nd Dennenberg17, %4.0444th Total213, %5048

 Now, in priority order, we assign the extra seats StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Angria83, % rd Bretonnia67, % st Curaguay45, % nd Dennenberg17, %4.0444th Total213, %5048

 Now, in priority order, we assign the extra seats StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Angria83, % rd Bretonnia67, % st16 Curaguay45, % nd Dennenberg17, %4.0444th Total213, %5048

 Now, in priority order, we assign the extra seats StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Angria83, % rd Bretonnia67, % st16 Curaguay45, % nd11 Dennenberg17, %4.0444th Total213, %5048

 We only had two leftover seats to assign, so the other states get their lower quota StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Angria83, % rd Bretonnia67, % st16 Curaguay45, % nd11 Dennenberg17, %4.0444th Total213, %5048

 We only had two leftover seats to assign, so the other states get their lower quota StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Angria83, % rd19 Bretonnia67, % st16 Curaguay45, % nd11 Dennenberg17, %4.0444th4 Total213, %504850

 Notice that Bretonnia and Curaguay received their fair shares rounded up (their upper quota) StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Angria83, % rd19 Bretonnia67, % st16 Curaguay45, % nd11 Dennenberg17, %4.0444th4 Total213, %504850

 With Hamilton’s method, each state will always receive either their lower quota or their upper quota: this is the quota rule  If a state is apportioned a number of states that is either above its upper quota or below its lower quota, then that is a quota rule violation

 Use Hamilton’s Method to assign 60 seats to the following states  State A has population 4,105  State B has population 5,376  State C has population 2,629

 Here is the solution StatePopulation% Pop.Fair Share Lower Quota PrioritySeats A4, % nd 20 B5, % st 27 C2, % rd 13 Total12, %605960

 Hamilton’s method is relatively simple to use, but it can lead to some strange paradoxes:  The Alabama paradox: Increasing the number of total seats causes a state to lose seats  The New States paradox: Introducing a new state causes an existing state to gain seats  The Population paradox: A state that gains population loses a seat to a state that does not

 When the population of each state stays the same but the number of seats is increased, intuitively each state’s apportionment should stay the same or go up  That doesn’t always happen

 Consider these state populations, with 80 seats available. Watch what happens when we increase to 81 seats StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Angria83, % Bretonnia67, % Curaguay45, % st 17 Dennenberg17, % nd 7 Totals213,566100%807880

StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Angria83, % Bretonnia67, % Curaguay45, % st 17 Dennenberg17, % nd 7 Totals213,566100% StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Angria83, % nd 32 Bretonnia67, % st 26 Curaguay45, % Dennenberg17, % Totals213,566100%817981

 After the 1880 Census, it was time to reapportion the House of Representatives.  The chief clerk of the Census Bureau computed apportionments for all numbers of seats from 275 to 350.  Alabama would receive 8 seats if there were 299 total seats, but only 7 seats if 300 were available.

 If a new state is added to our country, but the total number of seats remains the same, then we would expect that the apportionment for the existing states should stay the same or go down  This doesn’t always happen

 Consider this country with 4 states and 70 seats StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Elkabar80, % st 28 Florin59, % nd 21 Gondor48, % rd 17 Hyrkania13, % Totals202,069100%706770

 Now suppose the small state of Ishtar is added to this country StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Elkabar80, % st 28 Florin59, % nd 21 Gondor48, % rd 17 Hyrkania13, % Totals202,069100%706770

StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Elkabar80, % st 28 Florin59, % nd 21 Gondor48, % rd 17 Hyrkania13, % Totals202,069100% StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Elkabar80, % Florin59, % Gondor48, % Hyrkania13, % nd 5 Ishtar5, % st 2 Totals207,680100%706870

 In 1907, when Oklahoma was admitted to the Union, the total number of seats in Congress did not change  Oklahoma was assigned 5 seats, but this resulted in Maine gaining a seat!

 As time goes on, populations of states change  States that increase population rapidly should gain seats over those that do not  However, this doesn’t always happen

 Consider this country with 4 states and 100 seats StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Javasu28, % Karjastan76, % st 48 Libria44, % nd 28 Malbonia10, % Totals159,800100%

 Suppose that the populations of the states change StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Javasu28, % Karjastan76, % st 48 Libria44, % nd 28 Malbonia10, % Totals159,800100%

StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Javasu28, % Karjastan76, % st 48 Libria44, % nd 28 Malbonia10, % Totals159,800100% StatePopulation% Pop.Fair Share Lower Quota PrioritySeats Javasu28, % nd 18 Karjastan76, % Libria45, % st 28 Malbonia10, % rd 7 Totals160,800100%

 In the 1901 apportionment, Virginia lost a seat to Maine even though Virginia’s population grew at a faster rate!

 Several alternatives to Hamilton’s method have been developed that avoid these paradoxes  The first was developed by Thomas Jefferson, and was the method used to apportion the Congress from 1792 to 1832

 With this method, we return to Hamilton’s idea of rounding down the fair shares  The trick is to round down the fair shares, but not have any leftover seats

 Consider this example StatePopulation% Pop.Fair Share Lower Quota Angria 87, % Bretonnia 82, % Curaguay 66, % Dennenberg 63, % Total 300,000100%5048

 Here we have two extra seats, and each seat represents 300,000/50 = 6,000 people StatePopulation% Pop.Fair Share Lower Quota Angria 87, % Bretonnia 82, % Curaguay 66, % Dennenberg 63, % Total 300,000100%5048

 When we divide the total population by the number of seats, we get the standard divisor  Instead of figuring out the % population, we could just divide the population of each state by the standard divisor

 For example, Angria’s fair share is 87,438/6,000 = StatePopulationFair Share Lower Quota Angria 87, Bretonnia 82, Curaguay 66, Dennenberg 63, Total 300,

 Jefferson’s idea was to modify the standard divisor so that when the shares for each state are rounded down, there are no leftover seats  Right now we are only assigning 48 seats  Making the divisor smaller will increase each state’s share

 Here is the apportionment with the original divisor (6,000) StatePopulationFair Share Lower Quota Angria 87, Bretonnia 82, Curaguay 66, Dennenberg 63, Total 300,

 Let’s make the divisor smaller  Here we have the divisor equal to 5,850 StatePopulation Modified Share Lower Quota Angria87, Bretonnia82, Curaguay66, Dennenberg63, Totals300,00049 Still not enough seats!

 Let’s make the divisor even smaller  Here we have the divisor equal to 5,700 StatePopulation Modified Share Lower Quota Angria87, Bretonnia82, Curaguay66, Dennenberg63, Totals300,00051 Now we have too many seats!

 With some trial and error we find a number that works (in this case 5,800) StatePopulation Modified Share Lower Quota Angria87, Bretonnia82, Curaguay66, Dennenberg63, Totals300,00050 Success!

 Jefferson’s method has the advantage that it doesn’t suffer from any of the paradoxes that Hamilton’s method did  However, there is still a problem with Jefferson’s method  Let’s consider another example with 4 states and 50 seats

 This time the standard divisor is 220,561/50 = 4,411.2 StatePopulationFair Share Lower Quota Elkabar96, Florin45, Gondor44, Hyrkania32, Totals220,

 We have leftover seats, so Jefferson’s method tells us to make the divisor smaller StatePopulationFair Share Lower Quota Elkabar96, Florin45, Gondor44, Hyrkania32, Totals220,

 After some trial and error, we find that a divisor of 4,200 works StatePopulation Modified Share Lower Quota Elkabar96, Florin45, Gondor44, Hyrkania32, Totals220,56150

 The top chart uses the standard divisor (4,411)  The bottom chart is our Jefferson’s method solution  We have a quota rule violation! StatePopulationFair Share Lower Quota Elkabar96, Florin45, Gondor44, Hyrkania32, Totals220, StatePopulation Modified Share Lower Quota Elkabar96, Florin45, Gondor44, Hyrkania32, Totals220,56150

 As we saw, Jefferson’s method can violate the quota rule  This tends to favor larger states over smaller ones

 Variations of Jefferson’s method were proposed  Adams’ method (developed by the 6 th US President John Quincy Adams)  Webster’s method (developed by famed orator and lawyer Daniel Webster)

 This method is the same as Jefferson’s method, except you always round the shares up instead of down  This gives you too many seats, so you need to increase the divisor until you get the right number of seats

 In this method, we round the shares to the nearest whole number  It’s possible that this gives us the right number of seats, in which case we’re done  Otherwise, we need to increase (if we have too few seats) or decrease (if we have too many seats) the divisor

 Even these alternative methods can cause quota rule violations  In fact, it was proved in 1980 that it is impossible to find an apportionment system that both  avoids the paradoxes we discussed  doesn’t violate the quota rule