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The batteries from a certain manufacturer have a mean lifetime of 850 hours, with a standard deviation of 70 hours. Assuming that the lifetimes are normally distributed, complete the following statements. Choose a percentage of batteries (68%, 75%, 95%, 99.7%)

The batteries from a certain manufacturer have a mean lifetime of 850 hours, with-example-1
User Yetsun
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1 Answer

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ANSWER


\begin{gathered} (a)\text{ }95\% \\ \\ (b)780.7hrs\text{ and }919.3hrs \end{gathered}

Step-by-step explanation

(a) Given that:

Mean, μ = 850 hours

Standard deviation, σ = 70 hours

To find the percentage of batteries that have lifetimes between 710 and 990 hours, we have to find:


P(710This can be simplified as follows:[tex]\begin{gathered} P((710-850)/(70)Using the standard normal table, we have that:[tex]\begin{gathered} 0.97725-0.02275 \\ \\ 0.9545\Rightarrow95\% \end{gathered}

Hence, 95% of batteries have lifetimes between 710 hours and 990 hours.

(b) The middle 68% of the score represents:


P(-zWe can rewrite this as:[tex]\begin{gathered} P(ZNow, we have to find the z value corresponding to 0.84 from the standard normal table.<p>We have that:</p>[tex]P(Z<0.99)=0.84

This implies that:


z=\pm0.99

Using the z-score formula, we have to find the scores corresponding to the z-scores of -0.99 and 0.99.

That is:


x=z*\sigma+\mu

For z = -0.99:


\begin{gathered} x=(-0.99*70)+850 \\ \\ x=780.7\text{ }hrs \end{gathered}

For z = 0.99:


\begin{gathered} x=(0.99*70)+850 \\ \\ x=919.3\text{ }hrs \end{gathered}

Therefore, approximately 68% of the batteries have lifetimes between 780.7 hours and 919.3 hours.

User Toye
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