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Answer:
z-score=0.385
(See attached picture)
Step-by-step explanation:
The procedure to find the z-score will depend on the resources we have available. I have a table with the area between the mean and the value we wish to normalize, so the very first thing we need to do is precisely find this area we need to analyze.
Everything to the left of thte mean will represent 50% of the data, so we start by subtracting:
50%-35%=15%
so we need to look in the table for the value 0.15.
In my table I can see that for an area of 0.15, the z-score will be between 0.38 (z-score of 0.1480) and 0.39 (z-score of 0.1517).
By doing some interpolation, you can determine a more accurate value of the z-score to be 0.385.
