Using Chebyshev's inequality, for ANY distribution with mean $\mu$ and standard deviation $\sigma$, at least $1 - \frac{1}{k^2}$ of the data lies within $k$ standard deviations of the mean. A dataset has mean 100 and standard deviation 15. At least what percentage of values must fall in the interval $[55, 145]$?