In: Statistics and Probability
a. A normally distributed population has a mean of 98.36 and a
standard deviation of 0.38. Determine the sample mean at the 80th
percentile mark for samples of size 68.
Round to the nearest hundredth
b.
A normally distributed population has a mean of 98.15 and a
standard deviation of 0.5. Determine the sample mean at the 20th
percentile mark for samples of size 65.
Round to the nearest hundredth
c. A normally distributed population has a mean of 121 and a
standard deviation of 22. Determine the value of the sample average
at the 25th percentile for samples of siz 120.
Round to the nearest tenth
Solution :
a.
= / n = 0.38 / 68 = 0.0461
Using standard normal table ,
P(Z < z) = 80%
P(Z < 0.84) = 0.8
z = 0.84
Using z-score formula,
= z * + = 0.84 * 0.0461 + 98.36 = 98.4
80th percentile = 98.4
b.
= / n = 0.5 / 65 = 0.0620
Using standard normal table ,
P(Z < z) = 20%
P(Z < -0.84) = 0.2
z = -0.84
Using z-score formula,
= z * + = -0.84 * 0.0620 + 98.15 = 98.1
20th percentile = 98.1
c.
= / n = 22 / 120 = 2.0083
Using standard normal table ,
P(Z < z) = 25%
P(Z < -0.67) = 0.25
z = -0.67
Using z-score formula,
= z * + = -0.67 * 2.0083 + 121 = 119.7
25th percentile = 119.7