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The time taken by a randomly selected applicant for a mortgage to fill out a certain form has a normal distribution with mean value \({\rm{10}}\) min and standard deviation \({\rm{2}}\) min. If five individuals fill out a form on one day and six on another, what is the probability that the sample average amount of time taken on each day is at most \({\rm{11}}\) min?

Short Answer

Expert verified

\({\rm{P(\bar X拢 11) = 0}}{\rm{.772}}\)

Step by step solution

01

Definition of standard deviation

The square root of the variance is the standard deviation of a random variable, sample, statistical population, data collection, or probability distribution. It is less resilient in practice than the average absolute deviation, but it is algebraically easier.

02

Determining the probability that the sample average amount of time taken on each day is at most \({\rm{11}}\) min

The time taken has a normal distribution with a standard deviation of \({\rm{\sigma = 2}}\)minutes and a \({\rm{\mu = 10}}\)minute mean. \({{\rm{\mu }}_{{\rm{\bar X}}}}{\rm{ = 10}}\)is the expected value of random variable \({\rm{X}}\) (sample average), and the standard deviation is

\(\begin{array}{*{20}{c}}{{{\rm{\sigma }}_{{\rm{\bar X}}}}{\rm{ = }}\frac{{\rm{1}}}{{\sqrt {\rm{n}} }}{\rm{ \times \sigma = }}\frac{{\rm{1}}}{{\sqrt {\rm{5}} }}{\rm{ \times 2 = 0}}{\rm{.894,}}\;\;\;{\rm{\;when\;n = 5}}}\\{{{\rm{\sigma }}_{{\rm{\bar X}}}}{\rm{ = }}\frac{{\rm{1}}}{{\sqrt {\rm{n}} }}{\rm{ \times \sigma = }}\frac{{\rm{1}}}{{\sqrt {\rm{6}} }}{\rm{ \times 2 = 0}}{\rm{.816,}}\;\;\;{\rm{\;when\;n = 6}}}\end{array}\)

For the first day (\({\rm{n = 5}}\)individuals), the requested probability is

\(\begin{aligned}{{{\rm{P}}_{\rm{1}}}{\rm{(\bar X拢 11) &= P\left( {\frac{{{\rm{\bar X - }}{{\rm{\mu }}_{{\rm{\bar X}}}}}}{{{{\rm{\sigma }}_{{\rm{\bar X}}}}}}{\rm{拢 }}\frac{{{\rm{11 - 10}}}}{{{\rm{0}}{\rm{.894}}}}} \right){\rm{ = P(Z拢 1}}{\rm{.12)}}}\\&= {\rm{0}}{\rm{.8686,}}}\end{aligned}\)

(1): from the appendix's normal probability table. Software can also be used to calculate the likelihood.

For the second day (\({\rm{n = 6}}\)individuals), the requested probability is

\(\begin{aligned}{{{\rm{P}}_{\rm{2}}}{\rm{(\bar X拢 11) &= P\left( {\frac{{{\rm{\bar X - }}{{\rm{\mu }}_{{\rm{\bar X}}}}}}{{{{\rm{\sigma }}_{{\rm{\bar X}}}}}}{\rm{拢 }}\frac{{{\rm{11 - 10}}}}{{{\rm{0}}{\rm{.816}}}}} \right){\rm{ = P(Z拢 1}}{\rm{.22)}}}\\ &= {\rm{0}}{\rm{.8888,}}}\end{aligned}\)

(1): from the appendix's normal probability table. Software can also be used to calculate the likelihood.

\(\begin{aligned} P(\bar X拢 11) &= {{\rm{P}}_{\rm{1}}}{\rm{(\bar X拢 11) \times }}{{\rm{P}}_{\rm{2}}}{\rm{(\bar X拢 11)}}}\\ &= 0 {\rm{.8686 \times 0}}{\rm{.8888}}}\\&= 0 {\rm{.772}}}\end{aligned}\)

Because the two days' outcomes are unrelated, the request probability (for both days) is the product of the computed probabilities.

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Most popular questions from this chapter

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