HAPPING : с MT → EQUATION I RICH (R) EQUATION 3 EQUATION 4 PREDICTION 30 W R PROB (W) EQUATION 2 PROB (R/W) WHITE 50% = PROB (R) PROB(W/R) HISPANIC 30% RICH MIDOLE poor BLACK 20% = WHITE 15⁰0 10-20 0.30 0.50 WHITE всаск Hispanic WHITE 25% BLACK HISPANIC 60% POOR (P) 0.20 0-30 P(R, W) Prob(R) 25% PROB (RW) = PROB (R/W). PROB (W) 1 RICH MIDPLE 0.50 0.25 0:35 HISPANIC 40% Σ PROB (RW) W 6.40 BLACK 35% poor 0-15 0.25 8.60 MIDDLE CLASS (M) HISTORICAL DATA TRAINING IF You OBSERVE THE PERSON'S RACE L..

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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based on the picture:

rich class (R) has 20% black, white 50% and 30% Hispanic

middle class(P) has 25% white, 35% black and 40 % Hispanic

poor class (P) has 15% white, 25 %white, and 60 % Hispanic

mapping: C to W MT to R 

(using Bayes Theorem): 

Using the data in the attached document,  calculate Prob(W|R). 

 

HAPPING:
EQUATION I
с
MT →
EQUATION 2
EQUATION 3
аррисатка 2
EQUATION 4
RICH (R)
PREDICTION
30
W
R
PROB (W)
WHITE
50%
=
PROB (R/W)
PROB (R)
HISPANIC
30%
RICH
MIDDLE
poor
BLACK
20%
=
PROB(W/R) =
WHITE
15/0
10.20
0.30
8.50
WHITE
всаск
Hispanic
BLACK
WHITE
250%
HISPANIC
60%
POOR (P)
0.20
0-30
P(R, W)
Prob(R)
25%
RICH MIDDLE
0-50 0.25
0:35
PROB (RW) = PROB (R/W). PROB (W)
HISPANIC
40%
Σ PROB (R, W)
W
6.40
BLACK
35%
poor
0-15
0.25
8.60
MIDDLE CLASS (M)
HISTORICAL
DATA
TRAINING
IF You OBSERVE THE PERSON'S RACE
Lov
Transcribed Image Text:HAPPING: EQUATION I с MT → EQUATION 2 EQUATION 3 аррисатка 2 EQUATION 4 RICH (R) PREDICTION 30 W R PROB (W) WHITE 50% = PROB (R/W) PROB (R) HISPANIC 30% RICH MIDDLE poor BLACK 20% = PROB(W/R) = WHITE 15/0 10.20 0.30 8.50 WHITE всаск Hispanic BLACK WHITE 250% HISPANIC 60% POOR (P) 0.20 0-30 P(R, W) Prob(R) 25% RICH MIDDLE 0-50 0.25 0:35 PROB (RW) = PROB (R/W). PROB (W) HISPANIC 40% Σ PROB (R, W) W 6.40 BLACK 35% poor 0-15 0.25 8.60 MIDDLE CLASS (M) HISTORICAL DATA TRAINING IF You OBSERVE THE PERSON'S RACE Lov
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