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Ivahew [28]
3 years ago
6

9. What's the least common multiple (LCM) of 2, 6, and 8?

Mathematics
1 answer:
algol [13]3 years ago
3 0

Answer:

24

Step-by-step explanation:

The LCM or least common multiple of these numbers is 24

To get 24, you list all the multiple of these numbers until they all share at least one

So

2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, <u>24</u>

6, 12, 18, <u>24</u>

8, 16, <u>24</u>

They all share 24 so this is the LCM

Hope this helps

-GoldenWolfX

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Alenkasestr [34]

Answer:

xy=72

Step-by-step explanation:

If x is inversely porportionaly to y, then for some constant k,

x = \frac{k}{y}\\xy=k

Since y is 4 when x = 18, k is equal to 4*18=72, so the equation is:

xy=72

8 0
3 years ago
Find the measure of an angle and its complement if one angle measures 24 degrees more than the other.
Vera_Pavlovna [14]

Complementary angles = 90

x+y =90

y=x+24

substitute this in to the equation

x+x+24=90

2x+24=90

subtract 24 from each side

2x = 66

divide by 2

x=33

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Answer: 33, 57

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3 years ago
What is the measure (in radians) of central angle &amp; in the circle below?
MA_775_DIABLO [31]

Answer:

7pi/6

Step-by-step explanation:

Using the formula for arc length in radians, we get:

  1. 14pi = 12(theta)
  2. theta = 7pi/6 [divide both sides by 12]
8 0
2 years ago
Shane bought lunch for $5.38 and a shirt for $15.95. He then used the rest of his money to buy a book. He spent a total of $38.1
barxatty [35]
You add $5.38 & $15.95, which equals $21.33. Then subtract $21.33 from $38.12. Your answer is $16.79. That's how much Shane spent on the book.
7 0
3 years ago
An insurance company sets up a statistical test with a null hypothesis that the average time for processing a claim is 7 days, a
JulsSmile [24]

Answer:

There was no error

Step-by-step explanation:

There are two types of statistical errors, the type 1 error and the type 2 error. In this case we refute the null hypothesis when the hypothesis is, in fact, false, because the mean process is 9 days instead of 7. Therefore we made no errors.

If the null hypothesis were True, a type 1 error would have ocurred. If the null hypothesis were false and we didnt refute it, then a type 2 error would have ocurred.

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