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Oksanka [162]
3 years ago
11

What is y=-x-10/11 in standard form

Mathematics
1 answer:
lozanna [386]3 years ago
6 0
X+y=-10/11 is in standard from
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if you start on the unit circle at (0,-1) and move 360° in the counterclockwise direction, at what angle measure on the unit cir
maks197457 [2]

Answer:

270°

Step-by-step explanation:

(0, -1) is at the 270° angle.  If you do a 360°, you end up back where you started, so the angle is still 270°.

6 0
3 years ago
Hunter installed tiles on a floor with a length of 12 feet and a width of 9 feet in
salantis [7]
I don’t know if you meant 7 hours or 7 1/2 hours, but if it was in 7 hours, the answer would be around 15 square feet. If it was 7 1/2 hours, it would be 14 square feet.
3 0
3 years ago
ON YOUR OWN
vichka [17]
5 units because your starting from (-2,-2) so the last -2 will stay and the first number(-2) will go up until you hit the (,3) which will be 5 units away
6 0
2 years ago
Read 2 more answers
Angles ABC and DBE are vertical angles, with angle ABC = 4x, and angle DBE =( 2x+18)
Dmitrij [34]
 V<span>ertical angles are equal.
We have 4x = 2x + 18.
Then, 2x = 18;
x = 18 </span>÷ 2;
x = 9 degrees;
The measure of angle DBE is 2 × 9 + 18 = 36 degrees.
3 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
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