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andreyandreev [35.5K]
4 years ago
9

What type of problems can be solved by using the greatest common factor? Please help

Mathematics
1 answer:
stich3 [128]4 years ago
7 0
There are problems like "what is the greatest number that you need" and those are the problems
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Stella has 63 coins. The coins are a mixture of quarters and dimes. She has a total of $10.80. How many quarters and how many di
nika2105 [10]
Q + d = 63....q = 63 - d
0.25q + 0.10d = 10.80

0.25(63 - d) + 0.10d = 10.80
15.75 - 0.25d + 0.10d = 10.80
-0.25d + 0.10d = 10.80 - 15.75
-0.15d = -4.95
d = -4.95/-0.15
d = 33 <=== 33 dimes

q + d = 63
q + 33 = 63
q = 63 - 33
q = 30 <=== 30 quarters
7 0
3 years ago
Read 2 more answers
Can someone please help? This is difficult.
galina1969 [7]

They intersect at a point called the centroid. See the attached sketch.

4 0
3 years ago
Point V is on line segment \overline{UW}
____ [38]

Answer:

UV=25 units

Step-by-step explanation:

we know that

UW=UV+VW -----> by addition segment postulate

substitute the given values

4x+10=5x+5

solve for x

5x-4x=10-5

x=5

<em>Find the value of UV</em>

UV=5x

substitute the value of x

UV=5(5)=25 units

5 0
3 years ago
Does anyone know the answer pleaseeee
pochemuha

Answer:

it b

Step-by-step explanation:

3 0
3 years ago
The data depicted in a histogram show approximately a normal distribution if the distribution
Slav-nsk [51]

Answer:

bunches up in the middle and tapers off symmetrically at either end

Step-by-step explanation:

By definition a 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.

Because the data towards the mean is more frequent in occurrence, the graph peaks at the center. The data occurs less frequently at the tail ends of the distribution, thus the shape of the distribution is a bell shape that peaks at the center and tapers off towards the tails.  The key characteristic is that the distribution of data is perfectly symmetrical.

This is why the answer is:

The data depicted in a histogram show approximately a normal distribution if the distribution <u>bunches up in the middle and tapers off symmetrically at either end.</u>

4 0
4 years ago
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