The manager of a computer help desk operation has collected enough data to conclude that the distribution of time per call is normally distributed with a mean equal to 8.21 minutes and a standard deviation of 2.14 minutes. what is the probability that three randomly monitored calls will each be completed in 4 minutes or less?

Answer :

Answer:

0.0003

Step-by-step explanation:

Mean=μ=8.21

Standard deviation=σ=2.14

We have to find P(3 randomly monitored call completed in 4 min or less).

P(Xbar≤4)=?

μxbar=μ=8.21

σxbar=σ/√n=2.14/√3=1.2355

Z-score associated with xbar=4

Z=[Xbar-μxbar]/σxbar

Z=[4-8.21]/1.2355

Z=-4.21/1.2355

Z=-3.4075

P(Xbar≤4)=P(Z≤-3.41)

P(Xbar≤4)=P(-∞<Z<0)-P(0<Z<-3.41)

P(Xbar≤4)=0.5-0.4997

P(Xbar≤4)=0.0003

Thus, the probability that three randomly monitored calls will each be completed in 4 minutes or less is 0.0003.

Cricetus

The probability will be "0.0003".

Probability:

In some kind of a randomized experimentation, probability would be measure of the possibility that an outcome will happen. The greater the likelihood of such an occurrence, the further probable it will materialize.

According to the question,

Mean, μ or [tex]\mu \bar x[/tex] = 8.21

Standard deviation, σ = 2.14

[tex]\sigma \bar x[/tex] = [tex]\frac{\sigma}{\sqrt{n} }[/tex]

    = [tex]\frac{2.14}{\sqrt{3} }[/tex]

    = 1.2355

Now,

Z-score will be:

= [tex]\frac{\bar X- \mu \bar x}{\sigma \bar x}[/tex]

By substituting the values,

= [tex]\frac{4-8.21}{1.2355}[/tex]

= [tex]-\frac{4.21}{1.2355}[/tex]

= -3.4075

hence,

The probability:

P ([tex]\bar X \leq 4[/tex]) = P (Z [tex]\leq[/tex] -3.41)

               = P (-∞ < Z < 0) - P(0 < Z < -3.14)

               = 0.5 - 0.4997

               = 0.0003  

Thus the above answer is correct.

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https://brainly.com/question/24756209

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