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4.134 Refer to Exercise 4.133. Find the following probabilities:

a.P(20x30)b.P(20<x30)c.P(x30)d.P(x45)e.(x40)f.(x<40)g.P(15x35)h.P(21.5x31.5)

Short Answer

Expert verified
  1. .The probability is 0.40
  2. The probability is -0.40
  3. The probability is 0.60
  4. The probability is 0.60
  5. The probability is 0.80
  6. The probability is 0.80
  7. The probability is 0.60
  8. The probability is 0.40

Step by step solution

01

Given Information

Referring to exercise 4.133, we can say that here x is a uniform random variable with parameters c=20 and d=45

02

Finding the pdf of x

The probability density function (PDF) random variable x is given by

f(x)=1d-c;c<x<d

Here c=20 and d=45

So, the pdf of x is:

f(x)=145-20=125=0.04f(x)=0.04;02<x<45

03

Finding the cdf of x

F(x)=P(Xx)=20xf(t)dt=20x0.04dt=0.0420xdt=0.04t20x=0.04(x-20)F(x)=0.04x(x-20)

04

Finding the probability when P(20≤x≤30)

a.

For continuous random variable x

P(X<x)=P(Xx)P(20x30)=P(x<20)=F(30)-F(20)=0.04(30-20)-0.04(20-20)=0.40

Thus, the required probability is 0.40.

05

Finding the probability when P(20<x≤30)

b.P(20<x30)=P(x20)-P(x30)=F(20)-F(30)=0.04(20-20)-0.04(30-20)=-0.04

Thus, the required probability is -0.40.

06

Finding the probability when P(x≥30)

c.

P(x30)=1-P(x<30)=1-F(30-)=1-0.04(30-20)=1-0.40=0.60

Thus, the required probability is 0.60.

07

Finding the probability when P(x≥45)

d.P(x45)=1-P(x<45)=1-F(45)=1-0.04(45-20)=1-1=0

Thus, the required probability is 0.

08

Finding the probability when P(x≤40)

e.P(x40)=F(40)=0.04(40-20)=0.80

Thus, the required probability is 0.80.

09

Finding the probability when P(x<40).

f.P(x<40)=F(40)=0.04(40-20)=0.80

Thus, the required probability is 0.80.

10

Finding the probability when P(15≤x≤35)P(15≤x≤35)

g.P(15x35)=P(20x35)[Since,x>20]=P(x35)-P(x<20)=F(35)-F(20)=0.04(35-20)-0.04(20-20)=0.60-0=0.60

Thus, the required probability is 0.60.

11

Finding the probability when P(21.5≤x≤31.5)

h.P(21.5x31.5)=P(x31.5)-P(x<21.5)=F(31.5)-F(21.5)=0.04(31.5-20)-0.04(21.5-20)=0.46-0.06=0.40=0.60

Thus, the required probability is 0.40.

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