Answer:
51.60% probability that a randomly selected adult has an IQ between 86 and 114.
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
![\mu = 114, \sigma = 86](https://tex.z-dn.net/?f=%5Cmu%20%3D%20114%2C%20%5Csigma%20%3D%2086)
Find the probability that a randomly selected adult has an IQ between 86 and 114.
Pvalue of Z when X = 114 subtracted by the pvalue of Z when X = 86. So
X = 114
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![Z = \frac{114 - 100}{20}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B114%20-%20100%7D%7B20%7D)
![Z = 0.7](https://tex.z-dn.net/?f=Z%20%3D%200.7)
has a pvalue of 0.7580
X = 86
![Z = \frac{X - \mu}{\sigma}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7BX%20-%20%5Cmu%7D%7B%5Csigma%7D)
![Z = \frac{86 - 100}{20}](https://tex.z-dn.net/?f=Z%20%3D%20%5Cfrac%7B86%20-%20100%7D%7B20%7D)
![Z = -0.7](https://tex.z-dn.net/?f=Z%20%3D%20-0.7)
has a pvalue of 0.2420
0.7580 - 0.2420 = 0.5160
51.60% probability that a randomly selected adult has an IQ between 86 and 114.