Questions: The heights of adult men in America are normally distributed, with a mean of 69.8 inches and a standard deviation of 2.63 inches. The heights of adult women in America are also normally distributed, but with a mean of 64.3 inches and a standard deviation of 2.56 inches. a. If a man is 6 feet 3 inches tall, what is his z-score (to 4 decimal places)? z= b. If a woman is 5 feet 11 inches tall, what is her z-score (to 4 decimal places)? z= c. Who is relatively taller? The 6 foot 3 inch American man The 5 foot 11 inch American woman

The heights of adult men in America are normally distributed, with a mean of 69.8 inches and a standard deviation of 2.63 inches. The heights of adult women in America are also normally distributed, but with a mean of 64.3 inches and a standard deviation of 2.56 inches.

a. If a man is 6 feet 3 inches tall, what is his z-score (to 4 decimal places)?
z= 

b. If a woman is 5 feet 11 inches tall, what is her z-score (to 4 decimal places)?
z= 

c. Who is relatively taller?
The 6 foot 3 inch American man
The 5 foot 11 inch American woman
Transcript text: The heights of adult men in America are normally distributed, with a mean of 69.8 inches and a standard deviation of 2.63 inches. The heights of adult women in America are also normally distributed, but with a mean of 64.3 inches and a standard deviation of 2.56 inches. a. If a man is 6 feet 3 inches tall, what is his $z$-score (to 4 decimal places)? $z=$ $\square$ b. If a woman is 5 feet 11 inches tall, what is her $z$-score (to 4 decimal places)? $z=$ $\square$ c. Who is relatively taller? The 6 foot 3 inch American man The 5 foot 11 inch American woman Submit Question
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Solution

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Solution Steps

Step 1: Calculate the $z$-score

To calculate the $z$-score, we use the formula $z = \frac{X - \mu}{\sigma}$, where $X$ is the individual's height, $\mu$ is the mean height of the population, and $\sigma$ is the standard deviation of the population's height. Substituting the given values, we get $z = \frac{75 - 69.8}{2.63} = 1.977$.

Step 2: Interpret the $z$-score

A $z$-score of 1.977 indicates that the individual is taller than the average. The magnitude of the $z$-score reflects how far and in what direction individuals deviate from the mean.

Step 3: Calculate the percentage of the population shorter or taller

Using the $z$-score, we find that 97.599% of the population is shorter than the given individual, and 2.401% is taller.

Final Answer:

The $z$-score of the individual's height is 1.977. This means that 97.599% of the population is shorter than the individual, and 2.401% is taller.

Step 1: Calculate the $z$-score

To calculate the $z$-score, we use the formula $z = \frac{X - \mu}{\sigma}$, where $X$ is the individual's height, $\mu$ is the mean height of the population, and $\sigma$ is the standard deviation of the population's height. Substituting the given values, we get $z = \frac{71 - 64.3}{2.56} = 2.617$.

Step 2: Interpret the $z$-score

A $z$-score of 2.617 indicates that the individual is taller than the average. The magnitude of the $z$-score reflects how far and in what direction individuals deviate from the mean.

Step 3: Calculate the percentage of the population shorter or taller

Using the $z$-score, we find that 99.557% of the population is shorter than the given individual, and 0.443% is taller.

Final Answer:

The $z$-score of the individual's height is 2.617. This means that 99.557% of the population is shorter than the individual, and 0.443% is taller.

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