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CaHeK987 [17]
3 years ago
5

Divide 3765 by 8 and write the remainder as a fraction

Mathematics
2 answers:
nirvana33 [79]3 years ago
7 0

Answer:

470 5/8

Step-by-step explanation:

3765÷8= 470.625

.625 as a fraction is 5/8

Reptile [31]3 years ago
4 0
470 5/8 is the answer i think
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Jocelynn paid $3.01 for an item which cost $34.80 before sales tax is applied. If the sales tax remains the same, how much money
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Start by finding out the tax percentage which is 3.01 divided by 34.80 which gives us 9% when rounded up. 100*1.09 will give us the answer; The answer is $109. For a precise answer with a precise tax percentage, it would be $108.65.
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3 years ago
What fraction is equivalent to 30/360?
Firdavs [7]

Answer:

1/12

Step-by-step explanation:

Given that

30/360 to lowest fraction equivalent

Now, we can write 30 as 3×10

Also, we can write 360 as 36×10

Then, we have

(3×10)/(36×10)

Then, 10 cancel 10, we are left with

3/36

Also we can write 36 as 12×3

Then, we have

3/(12×3)

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Then the lowest fraction is 1 / 12

1/12

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2 years ago
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The numbers in the second row of each collumn is increasing by 4 every time the numbers in the first row increase by 1.

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3 years ago
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3 years ago
A basketball player makes 70% of the free throws he shoots. Suppose that he tries 15 free throws.
Volgvan

Answer:

a.) .95

b.) The expected number of baskets is 10.50.

c.) 1.7748

Step-by-step explanation:

a.) This is a binomial distribution as there are two possibilities: makes a free throw or doesn't. This means that you can use the binomial function on a calculator to figure out the answer. Use the binomial CDF function on a calculator and the number of trials=15, probability of success=.7, lower bound=0, upper bound=7. Once you have evaluated the answer, .0500, it will need to be subtracted from1, as you want everything not included in this section. The answer to part a is thus 1-.0500=.95.

b.) The expected value is calculated by taking the total number of shots and multiplying it by the probability of making the shot: 15×.7=10.5 shots.

c.) The standard deviation of a binomial distribution can be calculated by the formula \sqrt{(sample size)(probability)(1-probability)}. Plugging in the numbers you get \sqrt{(15)(.7)(.3)}=1.7748.

8 0
3 years ago
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