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3 years ago

Help me plz !!!!!!!!!!!!!!!!!!!!!

Mathematics

2 answers:

Elenna [48]3 years ago

8 0

I think the answer is 400 B because 1 meter=100 centimeters and if there is 12 meters than 12*100 would be 1200 and that divided by 3 =400

Basile [38]3 years ago

3 0

It is 3 meters for each piece and in centimeters, that would be 300.

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108 in equal less than greater than 7 ft

masya89 [10]

7 ft is greater than is Longer than 108. Hope this helps! (:

8 0

3 years ago

What is the value of k

inysia [295]

Angle ZYX=180-115=65
in triangle sum of angles =180
so
4k+5+6k+10+65=180
10k+80=180
10k=180+80=260
k=260/10
k=26

4 0

4 years ago

Find the slope<br><br><br> !!!!!please help QUICK!!!!

Nataly [62]

Answer:

3/4

Step-by-step explanation:

We can find the slope using two points

( 0,-5) and ( 4,-2)

The slope is given by

m = ( y2-y1)/(x2-x1)

= ( -2- -5)/( 4-0)

= (-2+5)/(4-0)

=3/4

6 0

3 years ago

So I have this question and I need help please!! Here it is: −1 1/3 − 1 2/3=

earnstyle [38]

Answer:

-3

Step-by-step explanation: or if it -11/3 - 12/3 then its -23/3

5 0

4 years ago

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:

$p = 0.061, n = 50$

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