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vova2212 [387]
3 years ago
10

Evaluate 2 4ac if b = 5, a = -2, and c = 0​

Mathematics
1 answer:
andreyandreev [35.5K]3 years ago
7 0

Answer:0

Step-by-step explanation:2 4ac

2×4×-2×0=0

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PLEASE ANSWER ASAP FOR BRAINLEST!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!<br> Please also show with work!
slavikrds [6]

Answer:

66cm²

Step-by-step explanation:

Okay so lets start by breaking this down and writing a smiple equation to find the area.

We know that the N's are the same size. To make it easier we can turn them to a square/rectangle. I think it would be easist to move the bottem N's to the top. (look at the pic attached to see what i mean)

Lets start by finding the area of the top rectangle. We need to divide 8 by 2 to find the height.

a = b * h

a = 12 * 4 = 48(area of top rectangle)

a(of m) = 4.5 * 4 = 18

area of the whole thing:

a = 48 + 18 = 66

7 0
3 years ago
(9/ 4)/ 18 = 9/ (4 /18) A.True B.False
kotegsom [21]
False

<span>(9/ 4)/ 18
= 9/4 * 1/18
= 9/72
= 1/8 </span>
5 0
3 years ago
EASY 50 POINTS <br><br><br>Which statement is not a step used when constructing an inscribed square?
Damm [24]
the answer is B, hope this helps
3 0
3 years ago
Read 2 more answers
A sample of size 6 will be drawn from a normal population with mean 61 and standard deviation 14. Use the TI-84 Plus calculator.
AVprozaik [17]

Answer:

X \sim N(61,14)  

Where \mu=61 and \sigma=14

Since the distribution for X is normal then the distribution for the sample mean  is also normal and given by:

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

\mu_{\bar X} = 61

\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715

So then is appropiate use the normal distribution to find the probabilities for \bar X

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".  The letter \phi(b) is used to denote the cumulative area for a b quantile on the normal standard distribution, or in other words: \phi(b)=P(z

Solution to the problem

Let X the random variable that represent the variable of interest of a population, and for this case we know the distribution for X is given by:

X \sim N(61,14)  

Where \mu=61 and \sigma=14

Since the distribution for X is normal then the distribution for the sample mean \bar X is also normal and given by:

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

\mu_{\bar X} = 61

\sigma_{\bar X}= \frac{14}{\sqrt{6}}= 5.715

So then is appropiate use the normal distribution to find the probabilities for \bar X

8 0
3 years ago
-8x^2+4x+5=0 using quadratic formula
daser333 [38]
So you want to solve for x?

It would be nice if this would easily factor:
(-4x + 5)(2x +1)  = 0    This will not work!

So you need to use the quadratic formula:
a = -8, b = 4, c = 5

x = \frac{-b+/-  \sqrt{b^{2}-4ac} }{2a}

x = (-4 +/- \sqrt{16-4(-8)(5)})/2(-8)
   = (-4 +/- \sqrt{16 + 160})/-16
   = (-4 +\sqrt{176})/-16
   = 1/4 - \sqrt{11}/4

6 0
3 years ago
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