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The thickness of a protective coating applied to a conductor designed to work in corrosive conditions follows a uniform distribution over the interval [20,40] microns. a. Find the mean and standard deviation of the thickness of the protective coating. b. Find also the probability that the coating is less than 35 microns thick

User AlexGad
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2 Answers

6 votes

Answer: it's 6.3

Explanation:

User Tyler Muth
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6 votes

Answer:

a) For this case the mean is given by:


E(X) = (a+b)/(2)= (20+40)/(2)= 35

The variance is given by:


Var(X) = ((b-a)^2)/(12)= ((40-20)^2)/(12) =33.33

And the deviation would be:


Sd(X) = √(33.33)= 5.774

b) For this case we want to find this probability:


P(X<35)

And we can use the cumulative distribution function given by:


F(X) = (x-a)/(b-a) , a \leq X \leq b

And using this we got:


P(X<35) = F(35) = (35-20)/(40-20)= 0.75

Explanation:

For this case we define the random variable X as the hickness of a protective coating applied to a conductor and we know that the distribution of X is given by:


X \sim Unif (a= 20, b=40)

Part a

For this case the mean is given by:


E(X) = (a+b)/(2)= (20+40)/(2)= 35

The variance is given by:


Var(X) = ((b-a)^2)/(12)= ((40-20)^2)/(12) =33.33

And the deviation would be:


Sd(X) = √(33.33)= 5.774

Part b

For this case we want to find this probability:


P(X<35)

And we can use the cumulative distribution function given by:


F(X) = (x-a)/(b-a) , a \leq X \leq b

And using this we got:


P(X<35) = F(35) = (35-20)/(40-20)= 0.75

User PyQL
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