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2 years ago

A score that is 6 points below the mean corresponds to a z-score of z = 22.00. What is the population standard deviation?

Mathematics

1 answer:

pochemuha2 years ago

4 0

Answer:

<h2>Standard deviation is a measure of how spread out of numbers are:</h2>

Step-by-step explanation:

a score that is 6 points below the mean corresponds to a z score of z= 22 than the population standard deviation will be

----

z = (distance from mean)/(standard deviation)

-----

22 = 6/s

s = 6/22

s=0.272

The population standard deviation deviation is 0.272

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Maya can run 18 miles in 3 hours, and she can bike 18 miles in 2 hours.

polet [3.4K]

Answer:

36 miles

Step-by-step explanation:

Maya can bike 9 miles in one hours, meaning that she can bike 27 miles in 3 hours. Since Maya can run 18 miles in 3 hours, and half of 3 is 1.5, she can run 9 miles in 1.5 hours.

Biking Miles + Running Miles= Total Miles

27 + 9= 36 total miles

4 0

2 years ago

A simple random sample (SRS) of 100 of a certain popular car in 1997 found that 20 had a certain minor defect in the brakes. An

densk [106]

Answer: The required interval is (0.679, 0.821).

Step-by-step explanation:

Since we have given that

$n_1=100\\\\p_1=20\\\\n_2=400\\\\p_2=50$

So, the proportions would be

$\hat{p_1}=\dfrac{p_1}{n_1}=\dfrac{20}{100}=0.2\\\\\hat{p_2}=\dfrac{p_2}{n_2}=\dfrac{50}{400}=0.125$

So, At 90% confidence interval, the z score value would be

z = 1.65

and the hypothesis are :

$H_0:\hat{p_1}-\hat{p_2}=0\\\\H_1:\hat{p_1}-\hat{p_2}\neq 0$

So, the 90% confidence interval would be

$(\hat{p_1}-\hat{p_2})\pm z\sqrt{\dfrac{\hat{p_1}(1-\hat{p_1}}{n_1}+\dfrac{\hat{p_2}(1-\hat{p_2})}{n_2}}\\\\=(0.2-0.125)\pm 1.65\sqrt{\dfrac{0.2\times 0.8}{100}+\dfrac{0.125\times 0.875}{400}}\\\\=0.075\pm 1.65\times 0.0433\\\\=(0.75-0.0714,0.75+0.0714)\\\\=(0.679,0.821)$

Hence, the required interval is (0.679, 0.821).

5 0

2 years ago

Maria records random speeds from three different Internet providers in the table. Provider Download Speed (megabits per second)

Igoryamba

Answer:

<em>Able Cable </em>

Step-by-step explanation:

<u>Mean Value of Samples</u>

It's central tendency statistics measure that gives one representative value out of a complete dataset. It can be computed as the sum of the values by the number of values:

$\displaystyle \bar x=\frac{\sum x_i}{n}$