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Oksana_A [137]
3 years ago
6

HELP ASAP with a pick and match will give 20 points Polynomial Multiplication - Matching Worksheet

Mathematics
1 answer:
inn [45]3 years ago
6 0

Answer:

Please Refer to Image.

Step-by-step explanation:

Before we begin answering, we need to go over the rules of multiplying polynomials.

Unlike in regular multiplication, we have to combine the like terms in the subtracting portion of the multiplication process.

Another rule is that when there are more than 1 variable in a term, we need to take the variables as two separate variables and then proceed to multiply them.

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An umbrella you bought is shaped like a regular octagonal pyramid with a side length of four feet and a slant height of feet. Es
Angelina_Jolie [31]
The complete question in the attached figure

we know that
[<span>amount of fabric]=8*[area of lateral triangle side]
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so
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the answer is
80 ft²

8 0
3 years ago
Click on the volume of this rectangular prism.
gtnhenbr [62]

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Step-by-step explanation:

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6/15 divided by 1/7
mylen [45]
Question-
6/15 divided by 1/7

Answer-
Find the reciprocal of the divisor
Reciprocal of 1/7: 7/1Now, multiply it with the dividend
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3 years ago
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Evaluate the expression if y=4.4 and z= 12<br> z2+ 8y
Evgen [1.6K]

Answer: <em>59.2</em>

Step-by-step explanation:

<em>Take your equation</em>

<em>z2+8y</em>

<em>Now plug in the values given</em>

<em>(12)2+8(4.4)</em>

<em>24+35.2</em>

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5 0
3 years ago
How does the sample size affect the validity of an empirical​ argument? A. The larger the sample size the better. B. The smaller
astra-53 [7]

Answer:

A. The larger the sample size the better.

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem establishes 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:

We have to look at the standard error, which is:

s = \frac{\sigma}{\sqrt{n}}

This means that an increase in the sample size reduces the standard error, and thus, the larger the sample size the better, and the correct answer is given by option a.

7 0
3 years ago
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