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3 years ago

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Hey school cafeteria make cheese sauce for macaroni using 15 cups of swiss cheese and 17 cups of cheddar cheese perry tries to m

ake the sauce for a family party using 5 cups of swiss and 7 cups of cheddar is perry using the correct ratio

1 answer:

Pavlova-9 [17]3 years ago

6 0

He would be using the right ratio because a facility would be small compared to a evoke school with around 400 kids.

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There is a number three times the number -6 is equal to 45 find the number

Oduvanchick [21]

Answer:

6+ 45 = 500 #!_ djdjbdkeknf

4 0

3 years ago

Read 2 more answers

You are designing an aquarium that is to have a tank holding 225,000 gallons of water. The tank will be 100 feet long and 20 fee

ziro4ka [17]

So hmmm notice the picture below

thus $\bf \textit{volume of a rectangular prism}\\\\
V=lwh\qquad 
\begin{cases}
l=length\\
w=width\\
h=height\\
----------\\
l=100\\
w=20\\
V=225,000
\end{cases}\implies 225,000=(100)(20)h$

solve for "h"

5 0

3 years ago

Whats -12j > 156 , and n+4 +2n < -20 and also -1/2 k - 14 <11

yKpoI14uk [10]

For the first one it is, j<<span>−<span>13
Second one, </span></span>n<<span>−<span>8
</span></span>Third one, k><span>−<span>50</span></span><span>

</span>

8 0

2 years ago

A sports news station wanted to know whether people who live in the North or the South are bigger sports fans. For its study, 17

Free_Kalibri [48]

Using the z-distribution, it is found that the 95% confidence interval for the difference is (-1.3, -0.7).

<h3>What are the mean and the standard error for each sample?</h3>

Considering the data given:

$\mu_S = 3.8, n = 175, s_S = \frac{1.7}{\sqrt{175}} = 0.1285$

$\mu_N = 4.8, n = 152, s_N = \frac{1.2}{\sqrt{152}} = 0.0973$

<h3>What is the mean and the standard error for the distribution of differences?</h3>

The mean is the subtraction of the means, hence:

$\overline{x} = \mu_S - \mu_N = 3.8 - 4.8 = -1$

The standard error is the square root of the sum of the variances of each sample, hence:

$s = \sqrt{s_S^2 + s_N^2} = \sqrt{0.1285^2 + 0.0973^2} = 0.1612$

<h3>What is the confidence interval?</h3>

It is given by:

$\overline{x} \pm zs$

We have a 95% confidence interval, hence the critical value is of z = 1.96.

Then, the bounds of the interval are given as follows:

$\overline{x} - zs = -1 - 1.96(0.1612) = -1.3$

$\overline{x} + zs = -1 + 1.96(0.1612) = -0.7$

More can be learned about the z-distribution at brainly.com/question/25890103

#SPJ1

4 0

1 year ago

How can I tell, when doing synthetic division, if the binomial is<br> a FACTOR of the dividend?

Alecsey [184]

If you get 0 as the last value in the bottom row, then the binomial is a factor of the dividend.

Let's say the binomial is of the form (x-k) and it multiplies with some other polynomial q(x) to get p(x), so,

p(x) = (x-k)*q(x)

If you plug in x = k, then,

p(k) = (k-k)*q(k)

p(k) = 0

The input x = k leads to the output y = 0. Therefore, if (x-k) is a factor of p(x), then x = k is a root of p(x).

It turns out that the last value in the bottom row of a synthetic division table is the remainder after long division. By the remainder theorem, p(k) = r where r is the remainder after dividing p(x) by (x-k). If r = 0, then (x-k) is a factor, p(k) = 0, and x = k is a root.

5 0

3 years ago