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Lerok [7]
3 years ago
9

The least common multiple of two numbers is 84, and one of the numbers is 5 less than the other number. What are the numbers?

Mathematics
1 answer:
Vaselesa [24]3 years ago
7 0
I thought 89 is answer.
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What value is equivalent to 108-8x(5-2)-60
emmasim [6.3K]

Answer:

-28    +    -1    =    -29

     -14    +    -2    =    -16

     -7    +    -4    =    -11

     -4    +    -7    =    -11

     -2    +    -14    =    -16

     -1    +    -28    =    -29

     1    +    28    =    29

     2    +    14    =    16

     4    +    7    =    11

     7    +    4    =    11

     14    +    2    =    16

     28    +    1    =    29

Step-by-step explanation:

6 0
3 years ago
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Evaluate the expression when m=3 and n=8. 40/n-m=
yKpoI14uk [10]

Answer:

2

Step-by-step explanation:

5 0
2 years ago
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A coin is tossed, and a standard number cube is rolled. What is the probability that the coin shows heads and the number cube sh
Ainat [17]
So,

Since this is independent probability, the probability of the event above occurring is:
(probability\ of\ heads)(probability\ of\ even\ no.)

First, the probability of landing on heads.
\frac{1}{2}

Now, the probability of rolling an even number.
<u />\frac{3}{6}\ or\  \frac{1}{2}

Plug it into the equation.
\frac{1}{2} * \frac{1}{2} =  \frac{1}{4}

The correct option is C.
7 0
4 years ago
Not sure if it’s A or b help!!!
Sphinxa [80]
The correct answer is A
4 0
4 years ago
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Suppose a simple random sample of size nequals45 is obtained from a population with muequals64 and sigmaequals14. ​(a) What must
jeka94

Answer:

Step-by-step explanation:

Given that sample size = n=45

mu = 64 and sigma =14

a) Sample mean will follow a normal distribution irrespective of the original distributions provided

i) samples are randomly drawn

ii) samples represent the population

iii) Sample size is sufficiently large

b) Here we have sample std dev= \frac{\sigma}{\sqrt{n} } \\=\frac{14}{\sqrt{45} } \\=2.09

P(X bar>68.1) = P(Z>\frac{68.1-64}{2.09} \\=P(Z>1.96)\\=0.25

c) P(X bar>66.3) = P(Z>\frac{66.3-64}{2.09} \\=P(Z>1.10)\\=0.136

7 0
3 years ago
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