use the normal model n(100,16) describing iq scores to answer the following. a) what percent of peoples iqs…

use the normal model n(100,16) describing iq scores to answer the following. a) what percent of peoples iqs are expected to be over 75? b) what percent of peoples iqs are expected to be under 85? c) what percent of peoples iqs are expected to be between 116 and 132?

use the normal model n(100,16) describing iq scores to answer the following. a) what percent of peoples iqs are expected to be over 75? b) what percent of peoples iqs are expected to be under 85? c) what percent of peoples iqs are expected to be between 116 and 132?

Answer

Explanation:

Step1: Standardize the values

For a normal distribution $N(\mu,\sigma^{2})$, we use the formula $z=\frac{x - \mu}{\sigma}$. Here, $\mu = 100$ and $\sigma=\sqrt{16}=4$.

Step2: Calculate z - scores for part a

For $x = 75$, $z=\frac{75 - 100}{4}=\frac{- 25}{4}=-6.25$. The probability $P(X>75)=1 - P(X\leq75)$. Since the standard normal table usually goes from $z=- 3.49$ to $z = 3.49$ and $P(Z\leq - 6.25)\approx0$, then $P(X>75)\approx1 = 100%$.

Step3: Calculate z - scores for part b

For $x = 85$, $z=\frac{85 - 100}{4}=\frac{-15}{4}=-3.75$. Looking up in the standard - normal table, $P(Z\leq - 3.75)\approx0.0001$. So the percentage of people with IQs under 85 is approximately $0.01%$.

Step4: Calculate z - scores for part c

For $x_1 = 116$, $z_1=\frac{116 - 100}{4}=\frac{16}{4}=4$. For $x_2 = 132$, $z_2=\frac{132 - 100}{4}=\frac{32}{4}=8$. Since $P(Z\leq4)\approx0.99997$ and $P(Z\leq8)\approx1$, then $P(116<X<132)=P(Z\leq8)-P(Z\leq4)\approx1 - 0.99997 = 0.00003$. So the percentage of people with IQs between 116 and 132 is approximately $0.003%$.

Answer:

a. Approximately 100% b. Approximately 0.01% c. Approximately 0.003%