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zaharov [31]
3 years ago
9

Which of the following relationships does NOT represent y as a function of x ?

Mathematics
1 answer:
KonstantinChe [14]3 years ago
7 0

Step-by-step explanation:

A constant regarding force of 10 Newton is exerted to a body of mass 20 kg moving initially with a speed of 10 meter per second how long does the body take to stop

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Find the sum. Enter your answer in the box below as a fraction, using the
MakcuM [25]

Answer:

6/13

Step-by-step explanation:

8 0
2 years ago
What is the value of x?<br> Enter your answer in the box.<br><br> x =
LUCKY_DIMON [66]

Answer: x = 39  because 39 + 102 = 141 and 180 -  141 = 39

7 0
3 years ago
What is the slope of the line passing through the points (-1,-7) and (-9,-2)?
nalin [4]

Answer: m = -5/8

Step-by-step explanation:

The general equation for slope is rise over run, also known as:

m=(y2-y1)/(x2-x1)

From the points (x, y), we can get all the variables we need.

(-1, -7) gives us x1 = -1 and y1 = -7

(-9, -2) gives us x2 = -9 and y2 = -2

If we plug all the values in, we get:

m = (-2 - (-7))/(-9 - (-1))

m = (-2 + 7)/(-9 + 1) the negatives cancel

m = (5)/(-8)

m = -5/8

7 0
3 years ago
The probability mass function of X is f(x)= 1/6, x 1.2...,6 then find out the value
Mumz [18]

For the given probability mass function of X, the mean is 3.5 and the standard deviation is 1.708.

  • A discrete random variable X's probability mass function (PMF) is a function over its sample space that estimates the likelihood that X will have a given value. f(x)=P[X=x].
  • The total of all potential values for a random variable X, weighted by their relative probabilities, is known as the mean (or expected value E[X]) of that variable.
  • Mean(μ) = 1(1/6) + 2(1/6) + 3(1/6) + 4(1/6) + 5(1/6) + 6(1/6).
  • Mean(μ) = (1+2+3+4+5+6)/6
  • Mean(μ) = 21/6
  • Mean(μ) = 3.5
  • The square root of the variance of a random variable, sample, statistical population, data collection, or probability distribution represents its standard deviation. It is denoted by 'σ'.
  • A random variable's variance (or Var[X]) is a measurement of the range of potential values. It is, by definition, the squared expectation of the distance between X and μ. It is denoted by 'σ²'.
  • σ² = E[X²]−μ²
  • σ² = [1²(1/6) + 2²(1/6) + 3²(1/6) + 4²(1/6) + 5²(1/6) + 6²(1/6)] - (3.5)²
  • σ² = [(1² + 2²+ 3² + 4²+ 5²+ 6²)/6] - (3.5)²
  • σ² = [(1 + 4 + 9 + 16 + 25 + 36)/6] - (3.5)²
  • σ² = (91/6) - (3.5)²
  • σ² = 15.167-12.25
  • σ² = 2.917
  • σ = √2.917
  • Standard deviation (σ) = 1.708

To learn more about variance, visit :

brainly.com/question/14116780

#SPJ9

6 0
1 year ago
the distance between Columbus Ohio and New York City is about 560 miles how many hours would it take the train to travel between
arlik [135]
How fast is the train going??
7 0
3 years ago
Read 2 more answers
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