Bruce Y. answered 01/10/16
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So, we need 45% of the population to be between 0 and 1, which means we need 5% to be greater than 1 (or less than -1)
Using z = (1 - mu)/sigma, using 0 for mu and sigma being unknown. So z = 1/sigma.
From the standard normal table, we find that the z-score corresponding to a probability of 0.05 is 1.645.
z = 1.645 = 1/sigma, so sigma = 1/1.645 = 0.61, rounded to two significant digits.
As a rough check, the Empirical Rule tells us that 95% of the population should be within 2 SD of the mean, which would be between -1.22 and 1.22, so it's pretty easy to believe that 90% would be between -1 and 1.