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pogonyaev
3 years ago
11

To which family does the function belong ??? Need HELP!!!

Mathematics
1 answer:
cupoosta [38]3 years ago
8 0

Answer:

I think it is Quadratic

Step-by-step explanation:

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X - y = -2<br> y = -x - 2<br> What is the solution
LenKa [72]

Answer:

<em>x </em>= -2

<em>y </em>= 0

Step-by-step explanation:

Pretty hard process, but let me explain:

First, solve for y.

Substitute -x - 2 for y in x - y = -2:

Then, simplify both sides of the equation.

x - y = -2

x - (-x - 2) = -2

After, add -2 to both sides of the equation.

2x + 2 = -2

2x + 2 + -2 = -2 + -2

Next, divided both sides by 2.

2x/2 = -4/2

After that, substitute -2 for x in y = -x - 2:

You must simplify both sides of the equation.

y = -x - 2

y = -(-2) - 2

y = 0

Sorry if this is long and confusing, but I hope this helps!!

4 0
3 years ago
I don't know how to do this question.
sergij07 [2.7K]
The perimeter is the measure around the shape, so just add all the sides together-
6+5x+x+2
6x+8
Since this is a right triangle, you multiply the legs (6 and x+2) and divide by 2
6(x+2)
6x+12
/2
3x+6
8 0
3 years ago
12 decreased by some number h
Nimfa-mama [501]

Answer:

12 - h

Step-by-step explanation:

5 0
3 years ago
What is the significance of the mean of a probability​ distribution?
VikaD [51]

Answer:

Significance of the mean of a probability​ distribution.          

Step-by-step explanation:

  • The mean of a probability distribution is the arithmetic average value of a random variable having that distribution.
  • For a discrete probability distribution, the mean is given by, \sum x_iP(x_i), where P(x) is the probabiliy mass function.
  • For a continuous probability distribution, the mean s given by, E(x) = \int x_if(x_i), where f(x) is the probability density function.
  • Mean is a measure of central location of a random variable.
  • It is the weighted average of the values that X can take, with weights given by the probability density function.
  • The mean is known as  expected value or expectation of X.
  • An important consequence of this is that the mean of any symmetric random variable (continuous or discrete) is always on the axis of symmetry of the distribution.
  • For a continuous random variable, the mean is always on the axis of symmetry of the probability density function.
4 0
3 years ago
Need help pls I'm not good at math​
olga_2 [115]

Answer:

Step-by-step explanation:

Subtract 9 on both sides

6 0
3 years ago
Read 2 more answers
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