Can you explain or write how the revised column would be interpreted? ClipboardFontAlignmentG11fxAD.a1 Bayes' Theorem ComputationsProbabilitiesEventPriorConditionalJointRevisedS.0.40.80.320.64S'0.60.30.180.36Total:0.58101112131415 ClipboardFontAlignmentD5-B5 * C5B.CD.E.F1 Bayes' Theorem Computations2Probabilities4EventPriorConditionalJointRevised=D5/$D$7|=D6/$D$7|0.40.8|%3DB5 * C5-B6 * C6Total:-D5+D6S'0.60.37.6.101112131414

Answered: А C E 1 Bayes' Theorem Computations 3…

А C E 1 Bayes' Theorem Computations 3 Probabilities 4 Event Prior Conditional Joint Revised S 0.4 0.8 0.32 0.64 S' 0.6 0.3 0.18 0.36 7 Total: 0.5 8

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter10: Sequences, Series, And Probability

Section10.8: Probability

Problem 20E

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Question

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Can you explain or write how the revised column would be interpreted?

Clipboard
Font
Alignment
G11
fx
A
D.
a
1 Bayes' Theorem Computations
Probabilities
Event
Prior
Conditional
Joint
Revised
S.
0.4
0.8
0.32
0.64
S'
0.6
0.3
0.18
0.36
Total:
0.5
8
10
11
12
13
14
15

Clipboard
Font
Alignment
D5
-B5 * C5
B.
C
D.
E.
F
1 Bayes' Theorem Computations
2
Probabilities
4
Event
Prior
Conditional
Joint
Revised
=D5/$D$7
|=D6/$D$7
|0.4
0.8
|%3DB5 * C5
-B6 * C6
Total:-D5+D6
S'
0.6
0.3
7.
6.
10
11
12
13
14
14

Expert Solution

Step 1:- Procedure

To Calculate Revised probabilities, first we Calculate joint probabilities for both the events.

Joint Probability= Conditional Probability*prior probability.

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

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