The Chebychev's theorem states that for any numerical data set,
1.) at least
![\frac{3}{4}](https://tex.z-dn.net/?f=%5Cfrac%7B3%7D%7B4%7D)
of the data lie within two standard deviations of the mean;
2.) <span> at least </span><span><span>
![\frac{8}{9}](https://tex.z-dn.net/?f=%5Cfrac%7B8%7D%7B9%7D)
of the data lie within three standard deviations of the mean</span>;
3.) at least </span><span><span>
![1-\frac{1}{k^2}](https://tex.z-dn.net/?f=1-%5Cfrac%7B1%7D%7Bk%5E2%7D)
of the data lie within k standard deviations of the mean,</span> where k is any positive whole number that is greater than 1.</span>
Thus, given a
data set with a mean of 150 and a standard Deviation of 15, 75% of the data represent
![\frac{3}{4}](https://tex.z-dn.net/?f=%5Cfrac%7B3%7D%7B4%7D)
of the data, and according to Chebychev's theorem, <span>at least
![\frac{3}{4}](https://tex.z-dn.net/?f=%5Cfrac%7B3%7D%7B4%7D)
of the data lie within two standard deviations of the mean.
Thus, 75% of the data will fall within the interval
![150\pm2(15)=150\pm30=(150-30,\ 150+30)=(120,\ 180)](https://tex.z-dn.net/?f=150%5Cpm2%2815%29%3D150%5Cpm30%3D%28150-30%2C%5C%20150%2B30%29%3D%28120%2C%5C%20180%29)
.
Therefore, 75% of the data will
fall within the interval 120 to 180.</span>