Answer:
P(X < 220) = 0.05
The 80th percentile of the distribution of fly balls is 342 feet.
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the zscore of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this question, we have that:
[tex]\mu = 300, \sigma = 50[/tex]
P(X<220)
This is the pvalue of Z when X = 220. So
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{220 - 300}{50}[/tex]
[tex]Z = -1.6[/tex]
[tex]Z = -1.6[/tex] has a pvalue of 0.0548
Rounding to two decimal places
P(X < 220) = 0.05
80th percentile:
X when Z has a pvalue of 0.8. So X when Z = 0.84. So
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]0.84 = \frac{X - 300}{50}[/tex]
[tex]X - 300 = 50*0.84[/tex]
[tex]X = 342[/tex]
The 80th percentile of the distribution of fly balls is 342 feet.