Andrew C. answered 10/05/24
Experienced Tutor in Middle School to College Math.
We will begin by calculating the z-score. The formula for this is z = (x – x̅)/s, where x is the data value (227), the mean, x̅ , is 188, and s is the standard deviation of 13. Therefore, z = (227 – 188)/13 = 39/13 = 3. In symbols this means we want P(Z <= 3), the probability or percent of the normal distribution that is less than or equal to z = 3. Note: with the normal distribution, and other continuous distributions, P(Z < 3) and P(Z <=3) mean the same thing.
From the 68-95-99.7 Rule we know from z = –3 to z = 3 contains 99.7% of all data values. Conversely, further than 3 standard deviations are 100% – 99.7% = 0.3% of all data values. This is split equally into the left tail (smaller than z = –3) and right tail (bigger than z = 3). Thus, 0.3%/2 = 0.15% in each of these tails.
Returning to the end of the first paragraph to find P(z <= 3) we need to add the 99.7% which is from z = –3 to z = 3 and the 0.15% that is to the left of z = –3. Thus, the total percentage is 99.7% + 0.15% = 99.85%. Since there are total of 7100 observations we can multiply it by the percentage to find the expected amount below 227: 0.985(7100) = 7089.35, which we round down to 7089.