Women have pulse rates that are normally distributed with a mean of 75.6 beats per minute and a standard deviation of 11.6 beats per minute. Complete parts a through c below. a. Find the percentiles Upper P 1 and Upper P 99. Upper P 1equals nothing beats per minute

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Answer:

The upper 1% have a heart rate of at least 102.57 beats per minute.

The upper 99% have a heart rate of at least 48.63 beats per minute.

Step-by-step explanation:

Problems of normally distributed samples can be 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 = 75.6, \sigma = 11.6[/tex]

Upper P1

The value of X when Z has a pvalue of 0.99.

So we use [tex]Z = 2.325[/tex]

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]2.325 = \frac{X - 75.6}{11.6}[/tex]

[tex]X - 75.6 = 11.6*2.325[/tex]

[tex]X = 102.57[/tex]

The upper 1% have a heart rate of at least 102.57 beats per minute.

Upper P99.

The value of X when Z has a pvalue of 0.01.

So we use [tex]Z = -2.325[/tex]

[tex]Z = \frac{X - \mu}{\sigma}[/tex]

[tex]-2.325 = \frac{X - 75.6}{11.6}[/tex]

[tex]X - 75.6 = 11.6*(-2.325)[/tex]

[tex]X = 48.63[/tex]

The upper 99% have a heart rate of at least 48.63 beats per minute.