In: Statistics and Probability
Scores of an IQ test have a bell-shaped distribution with a mean of 100 and a standard deviation of 18. Use the empirical rule to determine the following. (a) What percentage of people has an IQ score between 64 and 136? (b) What percentage of people has an IQ score less than 64 or greater than 136? (c) What percentage of people has an IQ score greater than 154?
Given,
= 100 , = 18
a)
z-score = ( x - ) /
For X = 64 ,
z = ( 64 - 100) / 18
= -2
That is 64 is 2 standard deviation below the mean.
For X = 136 ,
z = ( 136 - 100) / 18
= 2
That is 136 is 2 standard deviation above the mean.
From empirical (68-95-99.7) rule,
Approximately, 95% of the data falls in 2 standard deviation of the mean.
Therefore,
P(64 < X < 136) = 95%
b)
P(X < 64 OR X > 136) = 1 - P( 64 < X < 136)
= 1 - 0.95
= 0.05
= 5%
c)
For X = 154 ,
z = ( 154 - 100) / 18
= 3
That is 154 is 3 standard deviation above the mean.
From empirical (68-95-99.7) rule,
Approximately, 99.7% of the data falls in 3 standard deviation of the mean.
That is ( 1 - 0.997) = 0.003 data falls outside 3 standard deviation, and 0.003 / 2 = 0.0015 of the data falls
in either side of curve.
Therefore,
P(X > 154) = 0.0015
= 0.15%