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Zinaida [17]
3 years ago
9

30. What common angle do CDG and FCE share?

Mathematics
1 answer:
Sedbober [7]3 years ago
4 0

Answer:

c

Step-by-step explanation:

It is in both of the equations at the top.

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Moritz is creating a wooden ramp with the given dimensions. The ramp will not need a bottom face.
Reptile [31]

Answer:

do mine first and ill do urs

Step-by-step explanation:

6 0
3 years ago
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Surface area of a rectangular prism if W = 6in L = 9in and H = 2in
Delicious77 [7]

Answer:

Step-by-step explanation:

Two faces are 6” by 9”. Two faces are 6” by 2”. Two faces are 9” by 2”.

Surface are = 2*6*9 + 2*6*2 + 2*9*2 = 108 + 24 + 36 = 168 square inches

4 0
3 years ago
Solve the equation. Check your solution.
Varvara68 [4.7K]

Answer:

17/7

Step-by-step explanation:

2g+2(-8+2g)=1-g

2g-16+4g=1-g

6g-16=1-g

6g-(-g)-16=1

6g+g=1+16

7g=17

g=17/7

8 0
2 years ago
two sides of a triangle are equal in length. the length of the third side is three more than the length of the equal sides. the
cluponka [151]

Answer:

each side is 31cm

Step-by-step explanation:

91/3=31

31+31+31=93

4 0
2 years ago
The distribution function of the univariate random variable x is continuous at x if and only if p(x
sweet-ann [11.9K]

The distribution function of the univariate random variable x is continuous at x if and only if , F (x) = P (X ≤ x)

Continuous univariate statistical distributions are functions that describe the likelihood that a random variable, say, X, falls within a given range. Let P (a Xb) represent the probability that X falls within the range [a, b].

A numerically valued variable is said to be continuous if, in any unit of measurement, whenever it can take on the values a and b. If the random variable X can assume an infinite and uncountable set of values, it is said to be a continuous random variable.

If X can take any specific value on the real line, the probability of any specific value is effectively zero (because we'd have a=b, which means no range). As a result, continuous probability distributions are frequently described in terms of their cumulative distribution function, F(x).

To learn more about univariated data

brainly.com/question/13415579

#SPJ4

7 0
1 year ago
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