2/5 of a kiddy pool was filled with water. After pouring out 5/7

Mathematics

1 answer:

Paladinen [302]3 years ago

8 0

Answer:

The question is asking what is the volume of water in the full pool. It is 70 liters.

Step-by-step explanation:

Let P represent the volume of a full pool.

"2/5 of a kiddy pool was filled with water" can be written as:

(2/5)P.

"After pouring out 5/7 of the amount of [I assume from the 2/5P] water in the pool" can be written as:

(2/7)(2/5)P, or (4/35)P [This represents the amount of water remaining in the pool after the above shenanigans.]

The we are told that when 62 liters are added back to the pool, it is full. That can be written as:

62 + (4/35)P = P [Add 62 liters to what was remaining. ((4/35)P), and we'll have P, a full pool, for a cool fool. [sorry]

62 = (31/35)P

P = 62(35/31)

P = 70 liters

You might be interested in

Joe's father is 15 more than twice Joe's age. How old is Joe's father? Solve algebraically.

dalvyx [7]

Answer:

Joe's father is 45.

Step-by-step explanation:

3x-x+2=4

6 0

3 years ago

Read 2 more answers

<img src="https://tex.z-dn.net/?f=find%20%5C%3A%20%20%5Cfrac%7Bx%7D%7By%7D%20" id="TexFormula1" title="find \: \frac{x}{y} " al

Aliun [14]

Answer:

The Answer is: x / y = 8 / 3

Step-by-step explanation:

3(x - 2) - 4(2y - 1) + 2=0

3x - 6 - 8y + 4 + 2 = 0

3x - 8y = 0

3x = 8y

3x/y = 8

x / y = 8 / 3

Hope this Helps! Have an Awesome Day!! (-:

8 0

3 years ago

Read 2 more answers

The cumulative distribution function f(x) of a discrete random variable x is given by f(0) =. 30, f(1) =. 70, f(2) =. 90 and f(3

Lisa [10]

Correlation between x & y is 0.6125.

In probability theory and statistics, the cumulative distribution function of a real-valued random variable X, or simply the distribution function of X weighted by x, is the probability that X takes a value less than or equal to x.

The cumulative distribution function (CDF) of a random variable X is defined as FX(x)=P(X≤x) for all x∈R. Note that the subscript X indicates that this is the CDF of the random variable X. Also note that the CDF is defined for all x∈R. Let's look at an example.

Learn more about cumulative distribution here: brainly.com/question/24756209

#SPJ4