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Snezhnost [94]
3 years ago
7

What’s the quotient of the 1/4 divided by 1/16

Mathematics
1 answer:
dusya [7]3 years ago
3 0
1/4 divided by 1/16 is the same thing as 1/4 times 16/1 so that would multiple to 16/4 which is 4.
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Is 4 yards bigger than 13 feet
8_murik_8 [283]
1 yard = 3 feet

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12 feet is less than 13 feet


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hope this helps
6 0
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Rude took a test and earned a 92%. Camilo earned an 88% on the same test. If Rudy answered 46 questions correctly, how many more
g100num [7]
Rudy answered 2 more questions correctly
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20 ft<br> 12 ft<br> 7 ft<br> 8 ft<br> 8 1t<br> 34 ft<br> What is the area?
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3 0
3 years ago
A​ half-century ago, the mean height of women in a particular country in their 20s was 64.7 inches. Assume that the heights of​
Ainat [17]

Answer:

99.5% of all samples of 21 of​ today's women in their 20's have mean heights of at least 65.86 ​inches.

Step-by-step explanation:

We are given that a half-century ago, the mean height of women in a particular country in their 20's was 64.7 inches. Assume that the heights of​ today's women in their 20's are approximately normally distributed with a standard deviation of 2.07 inches.

Also, a samples of 21 of​ today's women in their 20's have been taken.

<u><em /></u>

<u><em>Let </em></u>\bar X<u><em> = sample mean heights</em></u>

The z-score probability distribution for sample mean is given by;

                          Z = \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)

where, \mu = population mean height of women = 64.7 inches

            \sigma = standard deviation = 2.07 inches

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

Now, Probability that the sample of 21 of​ today's women in their 20's have mean heights of at least 65.86 ​inches is given by = P(\bar X \geq 65.86 inches)

  P(\bar X \geq 65.86 inches) = P( \frac{\bar X -\mu}{\frac{\sigma}{\sqrt{n} } } \geq \frac{65.86-64.7}{\frac{2.07}{\sqrt{21} } } ) = P(Z \geq -2.57) = P(Z \leq 2.57)

                                                                        = <u>0.99492  or  99.5%</u>

<em>The above probability is calculated by looking at the value of x = 2.57 in the z table which has an area of 0.99492.</em>

<em />

Therefore, 99.5% of all samples of 21 of​ today's women in their 20's have mean heights of at least 65.86 ​inches.

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3 years ago
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NeX [460]
(4 times 4 times 5) + (5 times 10 times 8) = 480 in cubed.
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3 years ago
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