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lisabon 2012 [21]
3 years ago
9

7. Evaluate: 9 x 3.14

Mathematics
1 answer:
Ganezh [65]3 years ago
6 0

Answer:

28.26 x

Step-by-step explanation:

multiply 3.14 by 9...

:}

have a noice dayy.

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5 + w + 21<br> What is the answer helped me please
Anna35 [415]

Answer:

w+5=7

Step-by-step explanation:

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4 years ago
If Skylar's property has a net income of $5,480, and returns 8 percent annually on the investment, then what is her property's v
saveliy_v [14]

Answer:

the Skylar's property value will be equal to $68,500.

Step-by-step explanation:

given,  

the net income of $5,480

return of 8 percent annually on the investment

property value is the value upon which the buyer and the seller come on the same page means they agree for the price.

property value = net operating income / capital rate

                        = \dfrac{5480}{0.08}

                        = $68,500

hence, the Skylar's property value will be equal to $68,500.

8 0
3 years ago
If pn= pn-1 +4 and p17=74, then p3=
MariettaO [177]

Your answer is p3=18

5 0
3 years ago
Which list shows the absolute values in order from least to greatest?
Alexandra [31]

Answer:

-110,-45,710

Step-by-step explanation:

If the minus is on the numbers and there is a number without minus the answer is the one without minus

7 0
3 years ago
Read 2 more answers
The Office of Student Services at UNC would like to estimate the proportion of UNC's 28,500 students who are foreign students. I
ANEK [815]

Answer:

For the sampling distribution of the sample proportion for a sample of size 50, the mean is 0.061 and the standard deviation is 0.034.

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

In this question:

p = 0.061, n = 50

So

Mean:

\mu = p = 0.061

Standard deviation:

s = \sqrt{\frac{0.061*0.939}{50}} = 0.034

For the sampling distribution of the sample proportion for a sample of size 50, the mean is 0.061 and the standard deviation is 0.034.

3 0
3 years ago
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