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nevsk [136]
3 years ago
6

Suppose that shoe sizes of American women have a bell-shaped distribution with a mean of 8.04 and a standard deviation of 1.52.

Using the empirical rule, what percentage of American women have shoe sizes that are at least 12.6?
Please do not round your answer.

SAT
1 answer:
Pani-rosa [81]3 years ago
7 0

Answer:

0.15 % of American women have a shoe size greater than 12.6

Explanation:

*See the attached photo.

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Why might the backcountry folks have thought the lowcountry folks were hypocrites?
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Answer:

The Fighting Begins. Fighting began in 1775 in the Northern colonies.

Explanation:

The Lowcountry folks were rich planters, and the Upcountry folks were everyday farmers, tradesmen, and woodsmen. The Upcountry thought the Lowcountry was stuck up, the Lowcountry thought the Upcountry were backwards hillbillies.

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Jack invested $500 in the shares of a company x and $750
-BARSIC- [3]

Assuming he sold all the shares of both companies for $600 and $900 respectively. what the ratio of return on investment from company x to that from company y will be is : 2:3

First step is to calculate x return on investment

x return on investment = $600 - $500

x return on investment= $100

Second step is to calculate y return on investment

y return on investment= $900 - $750

y return on investment= $150

Now let determine the ratio of return on investment from company x to that from company y

Using this formula

Ratio of return on investment=x return on investment/y return on investment

Let plug in the formula

Ratio of return on investment=100/150

Ratio of return on investment=2/3

Ratio of return on investment=2:3

Inconclusion assuming he sold all the shares of both companies for $600 and $900 respectively. what the ratio of return on investment from company x to that from company y will be is : 2:3

Learn more here:

brainly.com/question/24807055

6 0
2 years ago
15. For a random sample of n = 64, find the probability of a sample mean being
mart [117]

Answer:

0.9726

Explanation:

The computation of the probability of a sample mean is shown below:

P(\bar x < 24.3)

To find the probability first we have to determine the z score which is

z = \frac{\bar x - \mu_{\bar x}}{\sigma_{\bar x}} \\\\ = \frac{\bar x - \mu }{\frac{\sigma}{\sqrt{n} } } \\\\ = \frac{24.3 - 24}{\frac{1.25}{\sqrt{64} } }

= 1.92

Now probability is

P(\bar x < 24.3) \\\\= P(z < 1.92)

= 0.9726

Hence, the probability of the sample mean is 0.9726

We simply applied the above formulas to determined the probability of a sample mean and the same is to be considered

6 0
3 years ago
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