Use the Math Club election (Example 1.10) to illustrate why the Borda count method violates the IIA criterion.( Hint : Find the winner, then eliminate D and see what happens.) Table 1-6 shows the preference schedule for the Math Club election with the Borda points for the candidates shown in parentheses to the right of their names. For example, the 14 voters in the first column ranked A first (giving A 14 × 4 = 56 points), B second ( 14 × 3 = 42 points), and so on. Table 1-6 Borda points for the Math Club election Number of Voters 14 10 8 4 1 1st (4 points) A ( 56 ) C ( 40 ) D ( 32 ) B ( 16 ) C ( 4 ) 2nd (3 points) B ( 42 ) B ( 30 ) C ( 24 ) D ( 12 ) D ( 3 ) 3rd (2 points) C ( 28 ) D ( 20 ) B ( 16 ) C ( 8 ) B ( 1 ) 4th (1 points) D ( 14 ) A ( 10 ) A ( 8 ) A ( 4 ) A ( 1 )
Use the Math Club election (Example 1.10) to illustrate why the Borda count method violates the IIA criterion.( Hint : Find the winner, then eliminate D and see what happens.) Table 1-6 shows the preference schedule for the Math Club election with the Borda points for the candidates shown in parentheses to the right of their names. For example, the 14 voters in the first column ranked A first (giving A 14 × 4 = 56 points), B second ( 14 × 3 = 42 points), and so on. Table 1-6 Borda points for the Math Club election Number of Voters 14 10 8 4 1 1st (4 points) A ( 56 ) C ( 40 ) D ( 32 ) B ( 16 ) C ( 4 ) 2nd (3 points) B ( 42 ) B ( 30 ) C ( 24 ) D ( 12 ) D ( 3 ) 3rd (2 points) C ( 28 ) D ( 20 ) B ( 16 ) C ( 8 ) B ( 1 ) 4th (1 points) D ( 14 ) A ( 10 ) A ( 8 ) A ( 4 ) A ( 1 )
Use the Math Club election (Example 1.10) to illustrate why the Borda count method violates the IIA criterion.(Hint: Find the winner, then eliminate D and see what happens.)
Table 1-6 shows the preference schedule for the Math Club election with the Borda points for the candidates shown in parentheses to the right of their names. For example, the 14 voters in the first column ranked A first (giving A
14
×
4
=
56
points), B second (
14
×
3
=
42
points), and so on.
a) Find the scalars p, q, r, s, k1, and k2.
b) Is there a different linearly independent eigenvector associated to either k1 or k2? If yes,find it. If no, briefly explain.
Plz no chatgpt answer Plz
Will upvote
1/ Solve the following:
1 x +
X + cos(3X)
-75
-1
2
2
(5+1) e
5² + 5 + 1
3 L
-1
1
5² (5²+1)
1
5(5-5)
Elementary Statistics Using The Ti-83/84 Plus Calculator, Books A La Carte Edition (5th Edition)
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