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luda_lava [24]
3 years ago
8

Pls help ASAP ‼️ will give brainliest

Mathematics
1 answer:
Tcecarenko [31]3 years ago
8 0

Answer:

356.53

Step-by-step explanation:

Calculate the semicircle and square areas separately. For the semicircle, A = πr²/2, so 100.53

And for the square, A = a², so 256

Hope this helps

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24 and 25 divide will give you the final answer
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Tanya runs a catering business. Based on her records, her weekly profit can be approximated by the function LaTeX: f\left(x\righ
Shtirlitz [24]

The function

2x^2-44x-150

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to find that the solutions of the parabola are -3,\ 25

So, the parabola is positive if x (which wouldn't make sense in our case) or x

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4 0
3 years ago
Plz help me !!!!!!!!!!!!!
Digiron [165]

Answer:

It's D ...

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5 0
3 years ago
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The moon is about 240,000 miles from Earth. What is the distance written as a whole number multiplied by a power of ten?
ololo11 [35]

We need to find 240,000 written as a whole number multiplied by a power of ten.

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24 would be our whole number.

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10,000 is equal to 10^{4} because there are 4 zeros. Ex. when multiplying 200 by 30, we first multiply 2 * 3 then we add 3 zeros to the end of  6. So for 10*10*10*10, we add 4 zeros to the end of 1 which equals 10,000.

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7 0
3 years ago
Given that a 90% confidence interval for the mean height of all adult males in Idaho measured in inches was [62.532, 76.478]. Us
grigory [225]

Answer:

The confidence interval on this case is given by:

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

For this case the confidence interval is given by (62.532, 76.478)[/tex]

And we can calculate the mean with this:

\bar X = \frac{62.532+76.478}{2}= 69.505

So then the mean for this case is 69.505

Step-by-step explanation:

Previous concepts

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".  

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".

\bar X represent the sample mean  

\mu population mean (variable of interest)  

\sigma represent the population standard deviation  

n represent the sample size  

Assuming the X follows a normal distribution  

X \sim N(\mu, \sigma)

The confidence interval on this case is given by:

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

For this case the confidence interval is given by (62.532, 76.478)[/tex]

And we can calculate the mean with this:

\bar X = \frac{62.532+76.478}{2}= 69.505

So then the mean for this case is 69.505

5 0
3 years ago
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