Answer:
3
Step-by-step explanation:
V=⅓b²h
16=⅓*16*h
16=16h/3
h=3cm
Answer:
_
66,6% = ⅔
_
33,3% = ⅓
85% = 17⁄20
80% = ⅘
75% = ¾
90% = 9⁄10
20% = ⅕
10% = ⅒
Step-by-step explanation:
To convert from a fraction to a percentage, divide both the denominator and numerator to get a decimal point, then move the decimal point twice to the right, then attach the percentage symbol:
⅒ = 0,1 = 10%
⤻⤻
⅕ = 0,2 = 20%
⤻⤻
9⁄10 = 0,9 = 90%
⤻⤻
¾ = 0,75 = 75%
⤻⤻
⅘ = 0,8 = 80%
⤻⤻
17⁄20 = 0,85 = 85%
⤻⤻
_ _
⅓ = 0,3 = 33,3%
⤻⤻
_ _
⅔ = 0,6 = 66,6
All those bars above those digits are what are known as bar notation, indicating that digits repeat.
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Answer:
I think that the answer isssss B
Answer:
(a)
(b)
(c)
Step-by-step explanation:
Number of juniors who attended prom,n(J)=28
Number of seniors who attended prom,n(S)=97
- Total of those who attended prom=125
Number of juniors who did not attend prom,n(J')=56
Number of seniors who did not attend prom,n(S')=19
- Total of those who attended prom=75
- Total Number of students=200
(a) P (a junior who did not attend prom)

(b)


(c)P (junior | attended prom)


The study of explanatory or independent differences based on the dependent variable is a simple statistical method. The correlation between two variables is researched in which only the explanatory variable of them would be present, and the further discussion can be defined as follows:
For point (i):
- The log(distances) seem to be optimistic, and their valuation is 0.312, which also means that the cost of a house will rise even as the distance increases.
- In this, the certainly is what everybody expects the better the house from the sewage treatment is from a hygienic viewpoint.
For point (ii):
- In this regard, we cannot use straightforward regression, even as non-biased price estimation might not even be provided.
- The price-distance relationship here is not so much linear.
For point (iii):
- Several factors influence the house's price, the biggest contributor is house length, market nearness or public areas, number of rooms, etc.
- Thus the only influence is not the mere distance from the incinerator. It's one of the factors affecting housing pricing.
- The proximity of markets and places can be connected to the distance from the crematorium.
- However, factors such as house size and the number of stories aren't related to the distance from the incineration plant.
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