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Otrada [13]
3 years ago
11

12

Mathematics
1 answer:
Stels [109]3 years ago
3 0

Answer:

x = 1 Whole 1/3

Step-by-step explanation:

10001010100110010101001010101010111000100101010

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How to write 9 and 15 thousandths in decimals
poizon [28]

Answer:

0.915

Step-by-step explanation:

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3 years ago
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Tell me what x is idc if you explain
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X=120 mark as brainliest of correct
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Lashonda reads a book at a rate of 12 chapters per hour. How many chapters does she read in 3 hours?
Ede4ka [16]

Answer:

12×3=36

Step-by-step explanation:

hope ththis helped :))

4 0
2 years ago
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A couple plans to have children until they get a​ girl, but they agree they will not have more than three​ children, even if all
Alex_Xolod [135]

Answer:

E(X) = 1*0.52+ 2*0.25 +3*0.23= 1.71

Now we can calculate the second moment with the following formula:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i)

And replacing we got:

E(X^2) = 1^2*0.52+ 2^2*0.25 +3^2*0.23= 3.59

And the variance is given by:

Var(X) = E(X^2) -E(X)

And replacing we got:

Var(X) = 3.59 -[1.71]^2 = 0.6659

And the standard deviation is just the square root of the variance:

Sd(X) = \sqrt{0.6659}= 0.816

Step-by-step explanation:

Previous concepts

For this case we define the random variable X =" how many children the couple will have" and we know the following distribution:

X           1            2             3

P(X)    0.52      0.250   0.230

The expected value of a random variable X is the n-th moment about zero of a probability density function f(x) if X is continuous, or the weighted average for a discrete probability distribution, if X is discrete.

The variance of a random variable X represent the spread of the possible values of the variable. The variance of X is written as Var(X).  

Solution to the problem

For this case we can find the expected value with the following formula:

E(X) = \sum_{i=1}^n X_i P(X_i)

And replacing we got:

E(X) = 1*0.52+ 2*0.25 +3*0.23= 1.71

Now we can calculate the second moment with the following formula:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i)

And replacing we got:

E(X^2) = 1^2*0.52+ 2^2*0.25 +3^2*0.23= 3.59

And the variance is given by:

Var(X) = E(X^2) -E(X)

And replacing we got:

Var(X) = 3.59 -[1.71]^2 = 0.6659

And the standard deviation is just the square root of the variance:

Sd(X) = \sqrt{0.6659}= 0.816

4 0
3 years ago
20 percent of 80<br>5 percent is 80 <br>​
sergey [27]

Answer:

Step-by-step explanation:

20%*80=20/100*80

=16

5/100*x=80

5x=80*100

5x=8000

X=8000/5

=1600

8 0
3 years ago
Read 2 more answers
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