In: Statistics and Probability
The number of words in the active vocabulary of children of a particular age is normally distributed with a mean of 3000 and a standard deviation of 500.
Use the Normal Curve Table to determine the number of words a child needs to have in his/her vocabulary in order to be included
(a) among the top 5% of vocabulary scores
(b) among the top 20% of vocabulary scores
(c) among the bottom 10% of vocabulary scores
Solution :
mean = = 3000
standard deviation = = 500
Using standard normal table,
a ) P(Z > z) = 5%
1 - P(Z < z) = 0.05
P(Z < z) = 1 - 0.05 = 0.95
P(Z < 1.645 ) = 0.95
z = 1.65
Using z-score formula,
x = z * +
x = 1.65 * 500 + 3000
= 3825
Vocabulary scores = 3825
b ) P(Z > z) = 20%
1 - P(Z < z) = 0.20
P(Z < z) = 1 - 0.20 = 0.80
P(Z < 0.8416 ) = 0.80
z = 0.84
Using z-score formula,
x = z * +
x = 0.84 * 500 + 3000
= 3425
Vocabulary scores = 3425
c ) P(Z < z) = 10%
P(Z < z) = 0.10
P(Z < -1.282 ) = 0.10
z = -1.28
Using z-score formula,
x = z * +
x = -1.28 * 500 + 3000
= 2360
Vocabulary scores = 2360