Explanation Approach: The Huntington–Hill Apportionment Principle: If states X and Y have already been allotted x and y representatives, respectively, then state X should be given an additional representative in preference to state Y if the given condition is true. ( population of Y ) 2 y ⋅ ( y + 1 ) < ( population of X ) 2 x ⋅ ( x + 1 ) If the condition is not satisfied, then additional representatives should be given to the state Y. The Huntington-Hill number for X is given below, Huntington-Hill number = ( population of X ) 2 x ⋅ ( x + 1 ) In short we can say that the state which has large Huntington-Hill Number should be given an additional representative

6th Edition

ISBN: 9780134434681

Author: Tom Pirnot

Publisher: PEARSON

See similar textbooks

Question

Chapter 10.2, Problem 14E

To determine

To find:

Find the Huntington-Hill number.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Chapter 10.2, Problem 13E

Chapter 10.2, Problem 15E

Students have asked these similar questions

1000 1500 2000 Quarterly sales of videos in the Leeds "Disney" store are shown in figure 1. Below is the code and output for an analysis of these data in R, with the sales data stored in the time series object X. Explain what is being done at points (i)-(iv) in the R code. Explain what is the difference between (v) and (vi) in the R code. Explain, giving reasons, which of (v) and (vi) is preferable. Write out the model with estimated parameters in full. (The relevant points in the R code are denoted #2#2#3#23 (i) #### etc.) Given that the sales for the four quarters of 2018 were 721, 935, 649, and 1071, use model-based forecasting to predict sales for the first quarter of 2019. (A point forecast is sufficient; you do not need to calculate a prediction interval.) Suggest one change to the fitted model which would improve the analysis. (You can assume that the choice of stochastic process at (v) in the R code is the correct one for these data.) 2010 2012 2014 Time 2016 Figure 1:…

2. Let {X} be a moving average process of order q (usually written as MA(q)) defined on tЄ Z as where {et} is a white noise process with variance 1. (1) (a) Show that for any MA(1) process with B₁ 1 there exists another MA(1) pro- cess with the same autocorrelation function, and find the lag 1 moving average coefficient (say) of this process. (b) For an MA(2) process, equation (1) becomes X=&t+B₁et-1+ B2ɛt-2- (2) i. Define the backshift operator B, and write equation (2) in terms of a polyno- mial function B(B), giving a clear definition of this function. ii. Hence show that equation (2) can be written as an infinite order autoregressive process under certain conditions on B(B), clearly stating these conditions.

explain the importance of the Hypothesis test in a business setting, and give an example of a situation where it is helpful in business decision making.

Chapter 10 Solutions

Mathematics All Around (6th Edition)

Ch. 10.1 - Sharpening your Skills In Exercises 1-6, use the...Ch. 10.1 - Sharpening your Skills In Exercises 1-6, use the...Ch. 10.1 - Sharpening your Skills In Exercises 1-6, use the...Ch. 10.1 - Sharpening your Skills In Exercises 1-6, use the...Ch. 10.1 - Sharpening your Skills In Exercises 1-6, use the...Ch. 10.1 - Prob. 6E Ch. 10.1 - Sharpening Your Skills If the American Nurses...Ch. 10.1 - Prob. 8E Ch. 10.1 - Sharpening your Skills Which state is more poorly...Ch. 10.1 - Prob. 10E

Knowledge Booster

Find the Huntington-Hill number.

To find: Find the Huntington-Hill number.

Want to see the full answer?

Chapter 10 Solutions

To find:

Find the Huntington-Hill number.