The random variable xhas a normal distribution withμ=75and σ=10. Find the following probabilities:

a.P(x80)

b.P(x85)

c.P(70x75)

d.P(x>80)

e.P(x=78)

f.P(x110)

Short Answer

Expert verified

a.Px80=0.6915

b.Px85=0.1587

c.P70x75=0.1915

d.Px>80=0.3085

e.Px=78=0

f.Px110=0.9998

Step by step solution

01

Given information

X is anormalrandom variable.

μ=75σ=10

02

Define the probability density function

The p.d.f of X follows a normal distribution which is given by is:

fx=1σ2πe-12x-μ/σ2

03

(a) Calculate Px⩽80

Px80=Px-μσ80-7510=PZ0.5=0.6915

Hence,Px80=0.6915

04

(b) Calculate Px⩾85

Px85=Px-μσ85-7510=PZ1=1-PZ1=1-0.8413=0.1587

Hence,Px85=0.1587

05

(c) Calculate P70⩽x⩽75

P70x75=P70-7510x-μσ75-7510=P- 0.5Z0=PZ0-PZ-0.5=PZ0-1+PZ0.5=0.5-1+0.6915=0.1915

Hence,P70x75=0.1915

06

(d) Calculate Px>80

Px>80=Px-μσ>80-7510=PZ>0.5=1-PZ<0.5=1-0.6915=0.3085

Hence,Px>80=0.3085

07

(e) Calculate Px=78

Px=78=0[Since, Probability of any single point is 0]

Hence,Px=78=0

08

(f) Calculate Px⩽110

Px110=Px-μσ110-7510=PZ3.5=0.9998

Hence,Px110=0.9998

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Most popular questions from this chapter

Investment risk analysis. The risk of a portfolio of financial assets is sometimes called investment risk. In general, investment risk is typically measured by computing the variance or standard deviation of the probability distribution that describes the decision maker’s potential outcomes (gains or losses). The greater the variation in potential outcomes, the greater the uncertainty faced by the decision maker; the smaller the variation in potential outcomes, the more predictable the decision maker’s gains or losses. The two discrete probability distributions given in the next table were developed from historical data. They describe the potential total physical damage losses next year to the fleets of delivery trucks of two different firms.

Firm A




Firm B



Loss Next Year

Probabiity


Loss Next Year

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0

0.01



0

0


500

0.01



200

0.01


1000

0.01



700

0.02


1500

0.02



1200

0.02


2000

0.35



1700

0.15


2500

0.3



2200

0.3


3000

0.25



2700

0.3


3500

0.02



3200

0.15


4000

0.01



3700

0.02


4500

0.01



4200

0.02


5000

0.01



4700

0.01


a. Verify that both firms have the same expected total physical damage loss.

b. Compute the standard deviation of each probability distribution and determine which firm faces the greater risk of physical damage to its fleet next year.

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a. Find f(x)

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b. Find the probability that a sell-side analyst has a forecast error of +2.00 or higher


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Sell-Side Analysts

Mean

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a. Find the mean of x.

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