Answer:
b. 2.5%
Explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
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 problem, we have that:
![\mu = 190, \sigma = 15](https://img.qammunity.org/2021/formulas/mathematics/college/s6qfyc8g8bmk7v3la605cez72ewq6e90xl.png)
Which of the following is a good approximation of the probability that a randomly selected player weighs more than 220lb?
This is 1 subtracted by the pvalue of Z when X = 220. So
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
![Z = (220 - 190)/(15)](https://img.qammunity.org/2021/formulas/mathematics/college/nzq6med0ahixze7mcq3172rbmq0pg2snyy.png)
![Z = 2](https://img.qammunity.org/2021/formulas/mathematics/college/p55ijwmrn9sisoy10y0wfzxqnom7idckwf.png)
has a pvalue of 0.9772
1 - 0.9772 = 0.0228
Close to 2.5%
So the correct answer is:
b. 2.5%