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Varvara68 [4.7K]
2 years ago
4

What is the additive inverse of the polynomial -9x2+6x2y-5x3

Mathematics
1 answer:
ICE Princess25 [194]2 years ago
3 0
The additive inverse of the equation is 9x2 - 6x2y + 5x3.
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The table represents the height of a ball thrown up from the roof of a building, h(t), in meters, t seconds after it is thrown u
Anna [14]
• The ball is at the same height as the building between 8 and 10 seconds after it is thrown. TRUE - the height is zero somewhere in that interval, hence the ball is the same height from which it was thrown, the height of the roof of the building.

• The height of the ball decreases and then increases. FALSE - at t=2, the height is greater than at t=0.

• The ball reaches its maximum height about 4 seconds after it is thrown. TRUE - the largest number in the table corresponds to t=4.

• The ball hits the ground between 8 and 10 seconds after it is thrown. FALSE - see statement 1.

• The height of the building is 81.6 meters. FALSE - the maximum height above the building is 81.6 meters. Since the ball continues its travel to a distance 225.6 meters below the roof of the building, the building is at least that high.


1. TRUE
2. False
3. TRUE
4. False
5. False
9 0
2 years ago
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Which fraction is equivalent to fraction with numerator 6 and denominator negative 8? fraction with numerator negative 8 and den
Rzqust [24]
Numerator is the the number above the line on a fraction, while the denominator is the number underneath the line. 

\frac{6}{-8} is similar to \frac{-6}{8}

Fraction with numerator -6 and denominator 8 
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A baker uses 13 1/2 cups of flour to make bread. She uses 2 1/4 cups of flour to make each loaf. The baker sells 2/3 of the loav
ollegr [7]

Answer:

She sells 4 loaves of bread

Step-by-step explanation:

Lets explain how to solve the problem

→ A baker uses 13\frac{1}{2} cups of flour to make bread

→ She uses 2\frac{1}{4} cups of flour to make each loaf

From these information we can find the number of loaves of bread

she can make

∵ There are 13\frac{1}{2} cups of flour

∵ Each loaf of bread needs 2\frac{1}{4} cups of flour

∴ The number of loaves = 13\frac{1}{2} ÷ 2\frac{1}{4}

To divide two mixed numbers make them improper fractions and

change the division sign to multiplication sign and reciprocal the

fraction after the division sign

∵ 13\frac{1}{2} = \frac{(13)(2)+1}{2}

∴ 13\frac{1}{2} = \frac{27}{2}

∵ 2\frac{1}{4} = \frac{(2)(4)+1}{4}

∴ 2\frac{1}{4} = \frac{9}{4}

∴ The number of loaves = \frac{27}{2} × \frac{4}{9}

∴ The number of loaves = 6

<em>She can make 6 loaves</em>

→ The baker sells \frac{2}{3} of the loaves of bread that she makes

→ We need to find the number of loves of bread she sells

∵ She sells \frac{2}{3} of the loaves

∵ There are 6 loves

∴ The number of loaves she sells = 6 × \frac{2}{3} = 4

<em>She sells 4 loaves of bread</em>

7 0
2 years ago
What is an array of 4 x 875
OLEGan [10]
4 rows and 875 columns, or 875 rows and 4 columns
5 0
2 years ago
A brewery produces cans of beer that are supposed to contain exactly 12 ounces. But owing to the inevitable variation in the fil
MArishka [77]

Answer:

T \sim N (\mu = 6*12=72 , \sigma= \sqrt{6} *0.3=0.735)

P(T \leq 72) = P(Z< \frac{72-72}{0.735}) = P(Z

Step-by-step explanation:

Previous concepts

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 Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

Solutio to the problem

Let X the random variable that represent the amount of beer in each can of a population, and for this case we know the distribution for X is given by:

X \sim N(12,0.3)  

Where \mu=12 and \sigma=0.3

For this case we select 6 cans and we are interested in the probability that the total would be less or equal than 72 ounces. So we need to find a distribution for the total.

The definition of sample mean is given by:

\bar X = \frac{\sum_{i=1}^n X_i}{n} = \frac{T}{n}

If we solve for the total T we got:

T= n \bar X

For this case then the expected value and variance are given by:

E(T) = n E(\bar X) =n \mu

Var(T) = n^2 Var(\bar X)= n^2 \frac{\sigma^2}{n}= n \sigma^2

And the deviation is just:

Sd(T) = \sqrt{n} \sigma

So then the distribution for the total would be also normal and given by:

T \sim N (\mu = 6*12=72 , \sigma= \sqrt{6} *0.3=0.735)

And we want this probability:

P(T\leq 72)

And we can use the z score formula given by:

z = \frac{x-\mu}{\sigma}

P(T \leq 72) = P(Z< \frac{72-72}{0.735}) = P(Z

6 0
2 years ago
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