Answer:
(a) 68% of people has an IQ score between 87 and 113.
(b) 5% of people has an IQ score less than 74 or greater than 126.
(c) 0.15% of people has an IQ score greater than 139.
Step-by-step explanation:
Given information:Scores of an IQ test have a bell-shaped distribution,
mean = 100
standard deviation = 13
According to the empirical rule
68% data lies between
and
.
95% data lies between
and
.
99.7% data lies between
and
.
(a)


![[\overline{x}-\sigma,\overline{x}+\sigma]=[87,113]](https://tex.z-dn.net/?f=%5B%5Coverline%7Bx%7D-%5Csigma%2C%5Coverline%7Bx%7D%2B%5Csigma%5D%3D%5B87%2C113%5D)
Using empirical rule we can say that 68% of people has an IQ score between 87 and 113.
(b)


![[\overline{x}-2\sigma,\overline{x}+2\sigma]=[74,126]](https://tex.z-dn.net/?f=%5B%5Coverline%7Bx%7D-2%5Csigma%2C%5Coverline%7Bx%7D%2B2%5Csigma%5D%3D%5B74%2C126%5D)
Using empirical rule we can say that 95% of people has an IQ score between 74 and 126.
The percentage of people has an IQ score less than 74 or greater than 126 is
P = 1- percent of people has an IQ score between 74 and 126.
P = 1- 95%
P = 5%
Therefore 5% of people has an IQ score less than 74 or greater than 126.
(c)


![[\overline{x}-3\sigma,\overline{x}+3\sigma]=[61,139]](https://tex.z-dn.net/?f=%5B%5Coverline%7Bx%7D-3%5Csigma%2C%5Coverline%7Bx%7D%2B3%5Csigma%5D%3D%5B61%2C139%5D)
Using empirical rule we can say that 99.7% of people has an IQ score between 61 and 139.
The percentage of people has an IQ score less than 61 or greater than 139 is
P = 1- percent of people has an IQ score between 61 and 139.
P = 1- 99.7%
P = 0.3%
The percentage of people has an IQ score greater than 139 is

Therefore 0.15% of people has an IQ score greater than 139.