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Nostrana [21]
3 years ago
10

What is the least common multiple 8 and 12?

Mathematics
2 answers:
Andreyy893 years ago
7 0

Answer:24

Step-by-step explanation:

There least common multiple of 8 and 12 is 24

Anna35 [415]3 years ago
5 0

Answer:

24

Step-by-step explanation:

8 x 3 = 24

12 x 2 = 24

so 24 is your least common multiple

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I need help!<br><br>solve for x​
Volgvan

Answer:

x = 40

Step-by-step explanation:

Here's a fun fact, all of those angles actually add up to 360 degrees!

How do we know this? Well if you were to draw a small arc between each of the lines, you would see that the arc would end up making a circle. And remember, circles have 360 degrees!

Now we can do some basic algebra. Add up all the angles and set that equal to 360.

(2x) + (x) + (3x + 20) + (2x+20) = 360.

8x + 40 = 360

8x = 320

x = 40

Hope this helped!

4 0
2 years ago
Can someone help me with this right answer only and please explain it too
sineoko [7]

Answer:

g(6) = 71

f(11) = 62

Step-by-step explanation:

Let's solve g(6) first

Plug 6 into x

g(6) = 2(6)^2 - 1

g(6) = 2(36) - 1

g(6) = 72 - 1

g(6) = 71

Now let's solve f(11)

f(11) = 5(11) + 7

f(11) = 55 + 7

f(11) = 62

<em>Thus, out answers are 71 and 62 respectively</em>

5 0
3 years ago
three bags of packing peanuts are used to fill 2 boxes.how many bags of packing peanuts does each box use?between which two whol
igomit [66]
3/2 = 1.5
each box uses 1.5 bags of packing peanuts
6 0
4 years ago
Read 2 more answers
Photo attached. Geometry ‍♀️
Artemon [7]
12 for the first one, 6*4=24 24 divided by 2
7 0
3 years ago
Do one of the​ following, as appropriate.​ (a) Find the critical value z Subscript alpha divided by 2​, ​(b) find the critical v
aliya0001 [1]

Answer:

t=\pm 2.95

Step-by-step explanation:

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The t distribution or Student’s t-distribution is a "probability distribution that is used to estimate population parameters when the sample size is small (n<30) or when the population variance is unknown".

The shape of the t distribution is determined by its degrees of freedom and when the degrees of freedom increase the t distirbution becomes a normal distribution approximately.  

Data given

Confidence =0.99 or 99%

\alpha=1-0.99=0.01 represent the significance level

n =16 represent the sample size

We don't know the population deviation \sigma

Solution for the problem

For this case since we don't know the population deviation and our sample size is <30 we can't use the normal distribution. We neeed to use on this case the t distribution, first we need to calculate the degrees of freedom given by:

df=n-1=16-1=15

We know that \alpha=0.01 so then \alpha/2=0.005 and we can find on the t distribution with 15 degrees of freedom a value that accumulates 0.005 of the area on the left tail. We can use the following excel code to find it:

"=T.INV(0.005;15)" and we got t_{\alpha/2}=-2.95 on this case since the distribution is symmetric we know that the other critical value is t_{\alpha/2}=2.95

8 0
3 years ago
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