Use a table to find a z-score that fits the given conditions. Interpolate if necessary. 33% of the area under the standard normal curve is above the score.
Make sure you check to see how the table you are using shows its areas. Most show areas to the left (below) the z-score. So you have to take the complement of any probability (area) given that is above the score. Complement = 1-p. 1-.33 = .67, so find the score for probability (in the body of the table) of 0.6700.
you want the z-score corresponding to 67% area to the left of the z-score. Now, 50% of the area is to the left of the mean, so you need the z-score that corresponds to an area of the curve from the mean to the z-score=17%. From my table I get z=0.44
By "interpolate" it means that you likely won't find 0.6700 exactly in the table, so find the two values that are closest and take the average of their z-scores. *(Using the inverse-normal function on a calculator works well also..)
fyi no need to interpolate on this one. the z-score corresponding to an area of 0.6700 is on the table.
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