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KATRIN_1 [288]
2 years ago
10

Which of the following sets of data does NOT represent a valid function?

Mathematics
1 answer:
lukranit [14]2 years ago
6 0

Considering that it has an input mapped to more than one output, it is found that set G does not represent a function.

<h3>When does a data-set represent a function?</h3>

It represents a function if <u>each input is mapped to only one output</u>.

In data-set G, the <u>input 1 is mapped to outputs 3 and 6</u>, hence it is not a function.

More can be learned about functions at brainly.com/question/12463448

#SPJ1

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Will mark as Brainlist
Semmy [17]

The answer :

4/5

Step-by-step explanation:

4x-5y=0  

subtract 4x on both the sides  

4x-4x-5y = 0-4x  

-5y = -4x

divide by -5 on both the sides  

-5y/-5 = -4x/-5

y =( 4/5 )x  

4 0
3 years ago
A restaurant had 82.4 pounds of meat, then they ate 5.5 pounds of it, how much is left
zheka24 [161]

Answer:76.9 pounds

Step-by-step explanation: you subtract 5.5 pounds from the 82.4 pounds to get your answer

5 0
2 years ago
Read 2 more answers
And are perpendiculars dropped from to , and is perpendicular to and . If CR = DS, which statement must be true?
Ghella [55]
The answer is m rcd= m acd divided by 3
5 0
3 years ago
Read 2 more answers
What does<br> -$20 -$15 +$30 $2<br> Equal
ad-work [718]

Answer:

-3

Step-by-step explanation:

-20-15+30+2

-35+32

-3

4 0
2 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

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6 0
2 years ago
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