In the last quarter of 2007, a group of 64 mutual funds had a mean return of 4.8% with a standard deviation of 5.8%. If a normal model can be used to model them, what percent of the funds would you expect to be in each region? Use the 68-95-99.7 rule to approximate the probabilities rather than using technology to find the values more precisely. Be sure to draw a picture first. a) Returns of 10.6% or more b) Returns of 4.8% or less c) Returns between negative 12.6% and 22.2% d) Returns of more than 16.4%
Accepted Solution
A:
Answer:a) 16%; b) 50%; c) 99.7%; d) 2.5%Step-by-step explanation:In a normal curve, the empirical rule states that 68% of data falls within 1 standard deviation of the mean. This means for this problem, 68/2 = 34% of data falls from 4.8-5.8 = -1 to 4.8, and 34% falls from 4.8 to4.8+5.8 = 10.6.95% of data falls within 2 standard deviations of the mean. This includes the 68%; this means this leaves 95-68 = 27/2 = 13.5% to fall from-1-5.8 = -6.8 to -1, and 13.5% falls from 10.6 to10.6+5.8 = 16.4.99.7% of data falls within 3 standard deviations of the mean. This includes the 95%; this means this leaves 99.7-95 = 4.7/2 = 2.35% to fall from-6.8-5.8 = -12.6 to -6.8, and 2.35% falls from 16.4 to16.4+5.8 = 22.2.This leaves 100-99.7 = 0.3/2 = 0.15% to fall from the left end to -12.6, and 0.15% to fall from 22.2 to the right end.For part a, For returns of 10.6 or more, we would add everything above this value:13.5+2.35+0.15 = 16%.For part b,Since 4.8 is the mean, 50% of data falls below this.For part c,-12.6 is 3 standard deviations from the mean, and 22.2 is 3 standard deviations from the mean. This means that 99.7% of the data falls between these values.For part d,We add together all values above 16.4: 2.35+0.15 = 2.5%