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grigory [225]
3 years ago
5

DONT UNDERSTAND AT ALLL

Mathematics
2 answers:
dlinn [17]3 years ago
8 0
Her screen is a triangle duh
Fittoniya [83]3 years ago
6 0

Answer:

<u><em>finding the area:</em></u>

<u><em>146</em></u>

Step-by-step explanation:

You need to break the image up into 3 pieces. the lower big triangle, the middle square, and the top triangle.

the measuremets of the lower big triangle is 14 and 14.
to find the area, we need to do 1/2 *14*14
this equals 98

<em>The measurements of the square is 4,4.
we multiply 4*4 to get 16</em>

<u>The measurements of the top triangle is 8,8.
We find the area by doing 1/2*8*8
We get 32</u>

<u><em>lastly, we add up all of our solutions.
we do 98+16+32
we get 146.
</em></u>

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Answer:

12.5 %

Step-by-step explanation:

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Which of the following represents a relation that is NOT a function? A. X 7 -5 10 -7 Y 34 32 40 34 B. X -7 -5 -7 2 Y 34 32 40 34
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The x-value of -7 shows up more than once in relation ...
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4 years ago
HELP!!!!!!!!!!!!!!!!!!!!!!!
valentina_108 [34]

Answer:

Step-by-step explanation

Cluster- a group of points that close together

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What is the recursive formula for this geometric sequence?–2, –16, –128, –1024, ...
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Step-by-step explanation:

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3 years ago
A Common Measure of Student Achievement, The National Assessment of Educational Progress (NAEP) is the only assessment that meas
vlada-n [284]

Answer:

a) By the central limit theorem we know that if the random variable X="quantitative scores for young women", and we know that this distribution is normal.

X \sim N(\mu, \sigma=60)

And we are interested on the distribution for the sample mean \bar X, we know that distribution for the sample mean is given by:

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

And with that we have the assumptions required to apply the normal distribution to create the confidence interval since the distribution for \bar X is normal.

b) 270.283\leq \mu \leq 279.717

c) We are confident (99%) that the true mean for the quantitative scores for young women is between (270.283;3279.717)

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

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".

\bar X=275 represent the sample mean for the sample  

\mu population mean (variable of interest)

\sigma=60 represent the population standard deviation

n=1077 represent the sample size  

Part a

By the central limit theorem we know that if the random variable X="quantitative scores for young women", and we know that this distribution is normal.

X \sim N(\mu, \sigma=60)

And we are interested on the distribution for the sample mean \bar X, we know that distribution for the sample mean is given by:

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

And with that we have the assumptions required to apply the normal distribution to create the confidence interval since the distribution for \bar X is normal.

Part b

The confidence interval for the mean is given by the following formula:

\bar X \pm z_{\alpha/2}\frac{s}{\sqrt{n}}   (1)

Since the Confidence is 0.99 or 99%, the value of \alpha=0.01 and \alpha/2 =0.005, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.005,0,1)".And we see that z_{\alpha/2}=2.58

Now we have everything in order to replace into formula (1):

275-2.58\frac{60}{\sqrt{1077}}=270.283    

275+2.58\frac{60}{\sqrt{1077}}=279.717

So on this case the 99% confidence interval would be given by (270.283;3279.717)    

270.283\leq \mu \leq 279.717

Part c

We are confident (99%) that the true mean for the quantitative scores for young women is between (270.283;3279.717)

8 0
3 years ago
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