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Scores of an IQ test have a bell-shaped distribution with a mean of 100 and a standard deviation of 10. Use the empirical rule to determine the following

Scores of an IQ test have a bell-shaped distribution with a mean of 100 and a standard-example-1
User Xun Yang
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1 Answer

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Solution

We are given


\begin{gathered} Mean(\mu)=100 \\ S\tan dardDeviation(\sigma)=10 \end{gathered}

Note: Z score formula


Z=\frac{\bar{X}-\mu}{\sigma}

(a). What percentage of people has an IQ score between 90 and 110?


\begin{gathered} p(90<strong>Therefore, the answer is</strong>[tex]p(90<strong>(b) What percentage of people has an IQ score less than 80 or greater than 120?</strong><p>Thus, we have</p>[tex]\begin{gathered} p(X<80)+p(X>120) \\ \text{For } \\ p(X<80)=p(Z<(80-100)/(10)) \\ p(X<80)=p(Z<-2) \\ p(X<80)=0.02275 \\ \text{Now for} \\ p(X>120)=p(Z>(120-100)/(10)) \\ p(X>120)=p(Z>2)=1-p(Z<2)=1-0.97725=0.02275 \\ \text{Therefore,} \\ p(X<80)+p(X>120)=0.02275+0.02275 \\ p(X<80)+p(X>120)=0.0455 \\ \text{Converting to percentage} \\ p(X<80)+p(X>120)=4.55\% \end{gathered}

Therefore, the answer is


p(X<80)+p(X>120)=4.55\%

(C). What percentage of people has an IQ score greater than 120?

We have


\begin{gathered} p(X>120)=p(Z>(120-100)/(10)) \\ p(X>120)=p(Z>2)=1-p(Z<2)=1-0.97725=0.02275 \\ \text{Converting to percentage} \\ p(X>120)=2.275\% \end{gathered}

Therefore, the answer is


p(X>120)=2.275\%

User Prusswan
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