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Trava [24]
3 years ago
6

Which of the following is a true statement?

Mathematics
1 answer:
n200080 [17]3 years ago
6 0

Answer:

3

Step-by-step explanation:

It depends on the denominator

For 3 where comparing 16 to 24

Of course its going to be 16

Hope this helps!

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The total points scored in the last five middle school basketball games are as
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Mean is 35.

Median is 28.

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Step-by-step explanation:

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............... pls answer
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A. he travelled one km

B. He was travelling at a speed of 0.13km per minute.

60-30=30

4-0=4

S=D/T

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Sarah used 2.5 cups of cheese in a dish that serves 10 people. Amyn used 1.6 cups of cheese in a dish that serves 8 people.
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The answer is D.

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What is the measure of each angle in the circle?<br><br> 60°. <br> 90°<br> 72°<br> 30°
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Hope this helps you

1)

Answer: 45

360 divided by 8 = 45

2) 72

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3 years ago
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Suppose a simple random sample of size n is drawn from a large population with mean mu and standard deviation sigma. The samplin
Sidana [21]

Answer:

X \sim N(\mu,\sigma)  

Where \mu the mean and \sigma  the deviation

Since the distribution for X is normal then we can conclude that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

\mu_{\bar X} = \mu

\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solution to the problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(\mu,\sigma)  

Where \mu the mean and \sigma  the deviation

Since the distribution for X is normal then we can conclude that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

\mu_{\bar X} = \mu

\sigma_{\bar X}= \frac{\sigma}{\sqrt{n}}

6 0
3 years ago
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