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yKpoI14uk [10]
3 years ago
15

What is the slope of the line that contains the points (-2,7) and (2,3)

Mathematics
2 answers:
Ludmilka [50]3 years ago
4 0

The formula for slope is

\frac{y_{2}-y_{1}}{x_{2}-x_{1}}

In this case...

y_{2} =3\\y_{1} =7\\x_{2} =2\\x_{1} =-2

^^^Plug these numbers into the formula for slope...

\frac{3-7}{2 - (-2)}

\frac{-4}{4} -------------------> Simplifies to -1

                                                ^^^This is your slope

Hope this helped!

~Just a girl in love with Shawn Mendes

Amanda [17]3 years ago
3 0

Answer:

its -1 ...............................

Step-by-step explanation:

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3 years ago
Mr.McNeil bought two magazines for 7.45 and one book for 14.95. If the sales tax is 6% , what is the total cost of Mr.McNeil’s p
blagie [28]

Answer:

total cost = $22.4 + $1.12 = $23.52

Step-by-step explanation:

Mr McNeil bought 2 magazines for $7.45 and 1 book for $14.95 . The sales tax is 6% . The total cost of Mr McNeil can be calculated as follows.

He bought 2 magazines for $7.45  .This means the sum of the prize of the 2 magazine he bought is $7.45 and the prize for the single book he bought is $14.95.  The total cost of the items he bought excluding the sales tax is the sum of the whole items he bought.

total cost excluding sales tax = $7.45 + 14.95 = $22.4

The sales tax is 5% which can be calculated as follows

5/100 × 22.4 = 112/100 = $1.12

The total cost of Mr McNeil purchase including his sales tax is

total cost = $22.4 + $1.12 = $23.52

4 0
3 years ago
What is negative 6+positive 2 equal to
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Answer:

-4

Step-by-step explanation:

If you convert the words into an equation, you get:

-6+2

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-4 is your answer.

<em>~Stay golden~ :)</em>

5 0
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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.
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  • 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.
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