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ASHA 777 [7]
3 years ago
12

Which is equivalent to 3/8"? o o o o

Mathematics
1 answer:
dimulka [17.4K]3 years ago
5 0

Answer:

decimal form would be 0.375

these are all also equivalent 6/16 9/24 12/32 15/40 18/48 21/56 24/64 27/72 30/80 33/88 36/96 .375

i would just pick the one you have the options with since you just asked a question with no choices but i hope this helps

Step-by-step explanation:

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If Steve multiplied his purchase price by 1.08 to get his total bill, what percent sales tax was he paying?
mart [117]
He paid 8% sales tax.
5 0
3 years ago
Y = –5x + 30<br> x = 10<br> What is the solution to the system of equations?
PtichkaEL [24]

Answer:

x=10, y = -20

Step-by-step explanation:

y = –5x + 30

x = 10

Substitute the second equation into the first

y = –5*10 + 30

y = -50 +30

y = -20

x=10, y = -20

8 0
3 years ago
Use the slider to rotate pentagon ABCDE about the center of rotation, R. The angle through which the pentagon is rotated is , re
nikdorinn [45]

Answer:

Image α°

45°

115°

210°

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
PLEASE HELP ME ASAP!!!!
antoniya [11.8K]

Answer:

<em> i got -380</em>

Step-by-step explanation:

sorry if not helpful

6 0
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
2 years ago
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