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A manufacturer knows that their items have a normally distributed lifespan, with a mean of 14.2 years, and standard deviation of 3.8 years. If you randomly purchase one item, what is the probability it will last longer than 9 years?

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Answer: 0.9147

Explanation:

Explanation:

Given : A manufacturer knows that their items have a normally distributed lifespan with


\mu=14.2\text{ years}


\sigma= 3.8\text{ years}

Let x be the random variable that represents the lifespan of items.

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

For x= 9


z=(9-14.2)/(3.8)\approx-1.37

Now by standard normal distribution table, the probability it will last longer than 9 years will be :-


P(X>9)=P(z>-1.37)=1-P(x\leq-1.37)\\\\=1- 0.0853435\approx0.9146565\approx0.9147

Hence, the probability it will last longer than 9 years = 0.9147

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