In: Statistics and Probability
Scores of an IQ test have a bell-shaped distribution with a mean of 100 and a standard deviation of 17. Use the empirical rule to determine the following. (a) What percentage of people has an IQ score between 66 and 134? (b) What percentage of people has an IQ score less than 49 or greater than 151? (c) What percentage of people has an IQ score greater than 134?
Solution:
Scores of an IQ test have a bell-shaped distribution with a mean of 100 and a standard deviation of 17.
(a) What percentage of people has an IQ score between 66 and 134?
We have
Mean – 2*SD = 100 – 2*17 = 100 – 34 = 66
Mean + 2*SD = 100 + 2*17 = 100 + 34 = 134
So, according to empirical rule, about 95% of the area lies within two standard deviations from the mean.
So, about 95% of people have an IQ score between 66 and 134.
Answer: 95%
Part b
(b) What percentage of people has an IQ score less than 49 or greater than 151?
We have
Mean – 3*SD = 100 – 3*17 = 100 – 51 = 49
Mean + 3*SD = 100 + 3*17 = 100 + 51 = 151
So, according to empirical rule, about 99.7% or 0.997of the area lies within three standard deviations from the mean.
Probability of people has an IQ score less than 49 or greater than 151 = 1 – 0.997 = 0.003
Percentage of people has an IQ score less than 49 or greater than 151 = 0.3%
Answer: 0.3%
Part c
c) What percentage of people has an IQ score greater than 134?
We have P(66<X<134) = 95% = 0.95
P(X<66) + P(X>134) = 1 – 0.95 = 0.05
P(X>134) = 0.05/2 = 0.025
Due to symmetry, P(X<66) and P(X>134) are same.
Required percentage = 2.5%