Answer:
9.85% probability that he or she has a temperature above 99∘F.
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 problem, we have that:
[tex]\mu = 98.2, \sigma = 0.62[/tex]
If a healthy person is randomly selected, what is the probability that he or she has a temperature above 99∘F?
This is 1 subtracted by the pvalue of Z when X = 99. So
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
[tex]Z = \frac{99 - 98.2}{0.62}[/tex]
[tex]Z = 1.29[/tex]
[tex]Z = 1.29[/tex] has a pvalue of 0.9015
1 - 0.9015 = 0.0985
9.85% probability that he or she has a temperature above 99∘F.