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ololo11 [35]
3 years ago
7

What is the simplified form of V 100x35 ?

Mathematics
1 answer:
ElenaW [278]3 years ago
7 0

Answer:

answer is 3500.

answer is 3500

answer is 3500

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I will 10 points pls anwser correct
coldgirl [10]

Answer:

1.5 if you Evaluate and in fraction form \frac{15}{10}

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2 years ago
What is the initial value of the function represented by this table?
cestrela7 [59]

Answer:

C... 3

Step-by-step explanation:

3 0
3 years ago
1+10=10<br> 2+20 =20<br> 3+30=28<br> 4+40=32<br> 5+50=28<br> 6+60=?
aniked [119]

Hey! Your answer is here!

The answer to the problem is 10.

Hope this helps! :)

6 0
3 years ago
Assume that population mean is to be estimated from the sample described. Use the sample results to approximate the margin of er
Vikentia [17]

Answer:

ME=1.998 \frac{4}{\sqrt{64}}=0.999 \approx 1

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 =69 represent the sample mean for the sample  

\mu population mean

s=4.0 represent the sample standard deviation

n=64 represent the sample size  

Assuming the X follows a normal distribution

X \sim N(\mu, \sigma)

The sample mean \bar X have the following distribution:

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

The margin of error for the sample mean is given by this formula:

ME=z_{\alpha/2}\frac{\sigma}{\sqrt{n}}

Since we have the sample standard deviation we can estimate the margin of error like this:

ME=t_{\alpha/2}\frac{s}{\sqrt{n}}

The next step would be find the value of \z_{\alpha/2}, \alpha=1-0.95=0.05 and \alpha/2=0.025

We can find the degrees of freedom like this:

df=n-1=64-1=63

And we can find the critical value with the following code in excel for example: "=T.INV(0.025,63)" and we got:

t_{\alpha/2}=\pm 1.998

And the margin of error would be :

ME=1.998 \frac{4}{\sqrt{64}}=0.999 \approx 1

3 0
3 years ago
The ______ of the degrees of each factor is
nasty-shy [4]

Answer:

  • B. Sum

Step-by-step explanation:

When finding the volume, we multiplied the 3 dimensions with degree of 1, 1 and 3 and got the binominal of degree 5. We summed up the degrees: 1 + 1 + 3 = 5.

  • The <u>SUM</u> of the degrees of each factor is  the degree of the product.
8 0
3 years ago
Read 2 more answers
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