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bekas [8.4K]
3 years ago
13

Into a bucket, 3.705 liters of water flowed in 7.8 minutes. Enter the number of liters that flowed into the bucket each minute a

s a decimal in the box.
Mathematics
1 answer:
puteri [66]3 years ago
3 0
Divide the numbers. 
0.475

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Help me please !!! Only right answer please
ella [17]
The answer is 4 like i sed last time stop making conversation nd get to work
4 0
3 years ago
MN and KL are parallel. If JM = 6, MK = 12, and LN = 18, what is NJ?
Galina-37 [17]
6/12=X/18
Using the ratio of 18:12, you multiply 18/12 with 6, which equals 9.

Answer: NJ=9
5 0
3 years ago
Read 2 more answers
How to didvide6 divided by 8,654
Lelechka [254]

Answer: 0.0007

Step-by-step explanation:

6/8654

3 0
3 years ago
5) x-y+6; use x = 6, and y = 1
ankoles [38]

Answer:

-1

Step-by-step explanation:

substitute x for 6 and y for 1

which will be 6-1+6

using BODMAS

6-(1+6)

6-7= -1

6 0
3 years ago
The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem
wariber [46]

Answer:

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

Step-by-step explanation:

Let X the random variable that represent the number of admisions at the universit, and we have this probability distribution given:

X        1060   1400    1620

P(X)     0.5      0.1        0.4

In statistics and probability analysis, the expected value "is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values".

The variance of a random variable Var(X) is the expected value of the squared deviation from the mean of X, E(X).

And the standard deviation of a random variable X is just the square root of the variance.  

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

3 0
3 years ago
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