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The shelf life of a packed food follows a normal distribution, with a mean of 60.5 days and a standard deviation of 7.2 days. Rounded to the nearest hundredth, what is the probability that a package lasts fewer than 50 days?

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Answer:


P(X<50)=P((X-\mu)/(\sigma)<(50-\mu)/(\sigma))=P(Z<(50-60.5)/(7.2))=P(z<-1.46)

And we can find the probability using the normal standard distribution or excel and we got:


P(z<-1.46)=0.0721

Explanation:

Let X the random variable that represent the shelf life of packed food of a population, and for this case we know the distribution for X is given by:


X \sim N(60.5,7.2)

Where
\mu=60.5 and
\sigma=7.2

We are interested on this probability


P(X<50)

For this case we can solve this problem with the z score formula:


z=(x-\mu)/(\sigma)

If we apply this formula to our probability we got this:


P(X<50)=P((X-\mu)/(\sigma)<(50-\mu)/(\sigma))=P(Z<(50-60.5)/(7.2))=P(z<-1.46)

And we can find the probability using the normal standard distribution or excel and we got:


P(z<-1.46)=0.0721

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