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3 years ago

What is 20/50 reduced to a smaller fraction?

2 answers:

6 0

~~20/50 in simplest form is 2/5.
~~20/50 can be reduced to many smaller fractions. Dividing the numerators and denominators with the greatest common factor (GCF) will result into the simplest form of the fraction. Factors that are not GCFs will result the fraction into a fraction equivalent to the other.
~Examples: 20/50 divided by 2 is 10/25. 20/50 divided by 5 is 4/10.

koban [17]3 years ago

3 0

2/5 is the answer to your question

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A manufacturer makes ball bearings out of molten steel. It takes 5.24 cubic centimeters of molten steel to make ball bearings th

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2 years ago

The bake stars started with 3.5 pounds of power pasta. Luis and Marlana by 0.83 pounds. how much is left over?

Salsk061 [2.6K]

Answer:

2.67

Step-by-step explanation:

They are asking for the total poundage of power pasta after some is removed. This means we subtract the amount removed from the original amount.

Hope this helps you

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3 years ago

Lalo has 1,500 minutes per month on his cell phone plan. How many more minutes can he use if he has already talked for 785 minut

Ket [755]

Answer:

715 minutes

Step-by-step explanation:

we know that

To find out how many more minutes he can use, subtract the number of minutes he has already talked from the number of minutes of his plan

Let

x -----> the number of minutes of his plan

y -----> he number of minutes he has already talked

$x-y$

we have

$x=1,500\ min\\y=785\ min$

substitute

$1,500-785=715\ min$

4 0

3 years ago

An individual who has automobile insurance from a certain company is randomly selected. Let y be the number of moving violations

Hoochie [10]

Answer:

a) $E(Y)= \sum_{i=1}^n Y_i P(Y_i)$

And replacing we got:

$E(Y) = 0*0.45 +1*0.2 +2*0.3 +3*0.05= 0.95$

b) $E(80Y^2) =80[ 0^2*0.45 +1^2*0.2 +2^2*0.3 +3^2*0.05]= 148$

Step-by-step explanation:

Previous concepts

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.

Solution to the problem

Part a

We have the following distribution function:

Y 0 1 2 3

P(Y) 0.45 0.2 0.3 0.05

And we can calculate the expected value with the following formula:

$E(Y)= \sum_{i=1}^n Y_i P(Y_i)$

And replacing we got:

$E(Y) = 0*0.45 +1*0.2 +2*0.3 +3*0.05= 0.95$

Part b

For this case the new expected value would be given by:

$E(80Y^2)= \sum_{i=1}^n 80Y^2_i P(Y_i)$

And replacing we got

$E(80Y^2) =80[ 0^2*0.45 +1^2*0.2 +2^2*0.3 +3^2*0.05]= 148$

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2 years ago

2010,2002,2005,2007,2001

xxMikexx [17]

Answer:

2011,2012,2013,2014,2015

Step-by-step explanation:

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2 years ago