Step 1 :Calculate the z-score using the formula: \(Z = \frac{X - \mu}{\sigma}\)
Step 2 :Substitute the given values into the formula: \(Z = \frac{120 - 200}{40} = -2\)
Step 3 :A z-score of -2 means that the test score of 120 is 2 standard deviations below the mean.
Step 4 :Use a z-table to find the percentage of test scores that fall below a z-score of -2. The z-table shows that approximately 2.28% of test scores fall below this value.
Step 5 :\(\boxed{2.3\%}\) (rounded to the nearest tenth) of those taking the test scored below you.