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atroni
7 days ago
8

Consider sampling heights from the population of all female college soccer players in the United States. Assume the mean height

of female college soccer players in the United States is μ = 66 inches and the standard deviation is σ = 3.5 inches. Suppose we randomly sample 100 values from this population and compute the mean, then repeat this sampling process 5,000 times and record all the means we get.
Which of the following is the best approximation for the standard deviation of the 5,000 sample means?

A) .035
B) .35
C) 3.5
Mathematics
1 answer:
Leona [12.6K]7 days ago
7 0

Answer:

B).35

Step-by-step explanation:

The Central Limit Theorem asserts that for a normally distributed variable X, with mean \mu and standard deviation \sigma, sample means' distribution with a size n can be closely approximated by a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

This theorem also applies to skewed variables, provided n is at least 30.

In this scenario:

\sigma = 3.5, n = 100

Then

s = \frac{\sigma}{\sqrt{n}}

s = \frac{3.5}{\sqrt{100}}

s = 0.35

Therefore, the right answer is:

B).35

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Example

For a cube with side length 2, the corresponding volume equals 2³ = 8, with a surface area of 6·2² = 24. The resulting area-to-volume ratio is 24/8 = 3.

<pif we="" multiply="" the="" edge="" length="" by="" new="" volume="" equals="" and="" surface="" area="" equates="" to="" so="" area-to-volume="" ratio="" becomes...="">

The area-to-volume ratio changed by a factor of (0.3∛100)/3 = (∛100)/10, as previously noted.

</pif>
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