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Mademuasel [1]
3 years ago
12

How do you find the least common multiple of two numbers using prime factorizations?

Mathematics
1 answer:
Murljashka [212]3 years ago
6 0
Basically you would break down the numbers let's say you start off with 48, 8 times 6 gives you 48 what can go into 8, 2 and 4 then you say what can go into 4 which is 2 and 2 then break down 6, 3 an 2 basically you break it down all the way until you get the prime numbers

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Can someone please do this for me please please i did the top but i dont get these so please
svlad2 [7]
I belive what you have to do is substitute the x with the numver given on the left, so the first one would be -3-13 which is -16, so then that means y= -16 , so the ordered pair would be (-3,-16)
Hope this helps!!
4 0
4 years ago
Question Two please help
lana66690 [7]

Answer:

The similarity statement is RTS and ACB. Other options are correct

8 0
3 years ago
Solve the formula for the indicated variable <br> A=1/2bh solve for h
vfiekz [6]

Answer:

h=A*2b

Step-by-step explanation:

A=1/2bh

1/2bh=A

1/2bh÷1/2bh=A÷1/2bh (the 1/2b will cancel with the 1/2b on the left leaving h)

h=A*2b

7 0
4 years ago
What is the slope of the line? Anwer
amm1812
The slope of the line is 1/3
5 0
3 years ago
Read 2 more answers
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

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7 0
2 years ago
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