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Natali5045456 [20]
3 years ago
15

I will give Brainiest if you are right

Mathematics
1 answer:
dalvyx [7]3 years ago
5 0

Answer:

G. x+ 8 ≤ =15

Step-by-step explanation:

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Differentiate each of the following expressions with respect<br> to x<br> (a) (x^2+ 1)(x - 3)^4
zheka24 [161]

Answer: (A(x2+1)x-3)^=134

Step-by-step explanation: what me  my brother did was just look it up

4 0
2 years ago
Expand using the identity ( 2x + 3y)^2
drek231 [11]

<em>Hi there!</em>

<em>~</em>

<em></em>( 2x + 3y)^2<em></em>

<em></em>= (2x + 3y) (2x + 3y)\\= (2x)(2x)+ (2x) (3y) + (3y)(2x) +(3y)(3y)\\=4x^2 + 6xy + 6xy + 9y^2\\= 4x^2 + 12xy + 9y^2<em></em>

<em>Answer : </em>4x^2 + 12xy + 9y^2<em></em>

<em>Hope this helped you!</em>

<em></em>

<em></em>

8 0
4 years ago
Read 2 more answers
Which graph can be used to find the solution for the equation 4x + 2 = x + 3?
Marat540 [252]

Answer:

option C

Step-by-step explanation:

to find the solution for the equation 4x + 2 = x + 3, graph the equations

y= 4x+2  and y=x+3

Lets make a table for each equation

x          y= 4x+2

-1          4(-1) + 2= -4+2 = -2

0           4(0) + 2= 2

1             4(1) + 2= 6

plot all the points on graph

Lets make table for second equation

x          y= x+3

-1          -1+3 = 2

0           0+3 = 3

1             1+3 = 4

Plot the point on the graph and make a line

option C is correct

8 0
3 years ago
Read 2 more answers
The second sample was the same size as the first, and the proportion of sales identified as organic was 0.4. How does the 95 per
enot [183]

Answer:

The summer interval is wider and has a greater point of estimate  

Step-by-step explanation:

Assuming this problem: "An environmental group wanted to estimate the proportion of fresh produce sales indentified as organic in a grocery store. In the winter, the group obtained a random sample of sales from the store and used the data to construct a 95percent z-interval for a proportion (0.087,0.133). Six months later in the summer, the group obtained a second random sample of sales from the store. The second sample was the same size as the first, and the proportion of sales identified as organic was 0.4. How does the 95 percent z-interval for a proportion constructed from the summer sample compare to the winter interval? "

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".  

The population proportion have the following distribution

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

The confidence interval would be given by this formula

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=1.96

We can find the margin of error from the interval given on this case would be:

ME= \frac{0.133-0.087}{2}=0.023

And the point of estimate for the proportion obtained would be:

\hat p = 0.133-0.023=0.11

The margin of error for the proportion interval is given by this formula:  

ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}    (a)  

And on this case we have that ME =0.023 and we are interested in order to find the value of n, if we solve n from equation (a) we got:  

n=\frac{\hat p (1-\hat p)}{(\frac{ME}{z})^2}   (b)  

And replacing into equation (b) the values from part a we got:

n=\frac{0.11(1-0.11)}{(\frac{0.023}{1.96})^2}=710.95  

And rounded up we have that n=711

Now we know that we use the same sample size for the new confidence interval. And replacing into the confidence interval formula we got:

0.4 - 1.96 \sqrt{\frac{0.4(1-0.4)}{711}}=0.364

0.4 + 1.96 \sqrt{\frac{0.4(1-0.4)}{711}}=0.436

And the new 95% confidence interval would be given (0.364;0.436) has a width of 0.436-0.364=0.072. And the width for the previous confidence interval is 0.133-0.087= 0.046. So then the best answer is:

The summer interval is wider and has a greater point of estimate  

7 0
3 years ago
...............................
antoniya [11.8K]

Answer:

<h2>2 \sqrt{10}</h2>

Option C is the correct option.

Step-by-step explanation:

√ 8 • √ 5

Calculate the product

=  \sqrt{40}

Simplify the radical expression

=  \sqrt{2 \times 2 \times 10}

= 2 \sqrt{10}

Hope this helps...

Best regards!!

4 0
3 years ago
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