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N76 [4]
3 years ago
6

[WILL MARK BRAINLIEST] Determine whether the triangles below are congruent.​

Mathematics
1 answer:
jeka57 [31]3 years ago
3 0

Answer:

Step-by-step explanation:

If two angles and the included side of one triangle are equal to the corresponding angles and side of another triangle, the triangles are congruent.

Answer:

D) There is not enough information to determine congruency would be Ur best choice.

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H(1)=-6 h(2)= 20 h(n)= h(n-2)+h(n-1) What is the value of h(3)?
Elina [12.6K]

9514 1404 393

Answer:

  14

Step-by-step explanation:

Use the formula with n=3.

  h(3) = h(3-2) +h(3-1)

  h(3) = h(1) +h(2)

  h(3) = -6 +20 . . . . . substitute the given values

  h(3) = 14

6 0
3 years ago
the two lines below are parallel. if the slope of the red line is 4, what is the slope of the green line
densk [106]
Parallel lines are equal to each other(congruent). the slope is 4
4 0
3 years ago
Someone please help i’m desperate to pass this quiz
slavikrds [6]

Answer:

y=2x+5

Step-by-step explanation:

8 0
3 years ago
What the expression (4f-3+2g)-(4g+2)
galben [10]
For this question you can say: 
4f -3 +2g - 4g -2
so now you can simplify and find the answer:
4f -3 -2g -2 = 4f -2g -5
and that's the answer :)))
I hope this is helpful
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8 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
2 years ago
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