Step 1 :Given that the mean shoe size of American women is 8.18 and the standard deviation is 1.5, we are asked to find the percentage of American women who have shoe sizes no more than 3.68.
Step 2 :First, we calculate the z-score, which is the number of standard deviations a data point is from the mean. The formula for the z-score is \(Z = \frac{X - \mu}{\sigma}\), where \(X\) is the data point, \(\mu\) is the mean, and \(\sigma\) is the standard deviation.
Step 3 :Substituting the given values into the formula, we get \(Z = \frac{3.68 - 8.18}{1.5} = -3.0\). This means that a shoe size of 3.68 is 3 standard deviations below the mean.
Step 4 :According to the empirical rule, about 0.3% of data falls beyond three standard deviations from the mean. Since we are looking for the percentage of women who have shoe sizes no more than 3.68, we need to consider the left half of the distribution.
Step 5 :Therefore, we divide 0.3% by 2 to get 0.15%. This is the percentage of American women who have shoe sizes no more than 3.68.
Step 6 :Final Answer: \(\boxed{0.15\%}\)