In a certain​ city, the average​ 20- to​ 29-year old man is 69.6 inches​ tall, with a standard deviation of 3.0 ​inches, while the average​ 20- to​ 29-year old woman is 64.3 inches​ tall, with a standard deviation of 3.9 inches. Who is relatively​ taller, a​ 75-inch man or a​ 70-inch woman?

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Answer:

The 75-inch man has the higher z-score, so he is relatively taller.

Step-by-step explanation:

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.

Who is relatively​ taller, a​ 75-inch man or a​ 70-inch woman?

We have to find the z-score for each of them. Whoever has the higher z-score is relatively taller.

75 inch man

In a certain​ city, the average​ 20- to​ 29-year old man is 69.6 inches​ tall, with a standard deviation of 3.0 ​inches.

This means that [tex]\mu = 69.6, \sigma = 3[/tex]

We have to find Z when X = 75.

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

[tex]Z = \frac{75 - 69.6}{3}[/tex]

[tex]Z = 1.8[/tex]

The man is 1.8 standard deviations above the verage​ 20- to​ 29-year old man.

70 inch woman

The average​ 20- to​ 29-year old woman is 64.3 inches​ tall, with a standard deviation of 3.9 inches.

This means that [tex]\mu = 64.3, \sigma = 3.9[/tex]

We have to find Z when X = 70.

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

[tex]Z = \frac{70 - 64.3}{3.9}[/tex]

[tex]Z = 1.46[/tex]

The woman is 1.46 standard deviations above the average​ 20- to​ 29-year old woman.

The 75-inch man has the higher z-score, so he is relatively taller.