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On rainy days, Joe is late to work with probability .3; on nonrainy days, he is late with probability .1. With probability .7, it will rain tomorrow.

(a) Find the probability that Joe is early tomorrow.

(b) Given that Joe was early, what is the conditional probability that it rained?

Short Answer

Expert verified

(a) The probability that Joe is early tomorrow is .76.

(b) The conditional probability that it rained is0.64474.

Step by step solution

01

Given information (Part a)

On rainy days, Joe is late to work with probability .3; on nonrainy days, he is late with probability .1. With probability .7

We need to find the probability that Joe is early tomorrow.

02

Solution (Part a)

The solution is,

A=event that the rainy day.

Ac=event that the nonrainy day

E=event that Joe is early to work

Ec=event that Joe is late to work

Then,

PEcA=.3

PEcAc=.1

P(A)=.7

So, PAc=1P(A)using the complementary rule.

=1.7

=.3

03

final solution (Part a)

The probability that Joe is early tomorrow will be,

P(E)=P(EA)P(A)+PEAcPAc

=1PEcAP(A)+1PEcAcPAc

=(1.3)(.7)+(1.1)(.3)

=(.7)(.7)+(.9)(.3)

=.76

04

Final answer (Part a)

The probability that Joe is early tomorrow is.76.

05

given information (Part b)

On rainy days, Joe is late to work with probability .3and on non-rainy days, he is late with probability .1. With probability .7.

We need to find that s the conditional probability that it rained.

06

Solution (Part b)

The conditional probability that it rained if Joe is early will be,

P(AE)=P(EA)P(A)P(EA)P(A)+PEAcPAc

=1PEcAP(A)P(E)

=(1.3)(.7).76

Therefore,

=(.7)(.7).76

=.644736842

=4976

0.64474

07

Final answer (part b)

The conditional probability that it rained will be0.64474.

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