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zhannawk [14.2K]
3 years ago
7

What is the difference for -22 - (-26)​

Mathematics
1 answer:
Alenkasestr [34]3 years ago
8 0

Answer:

4

Step-by-step explanation:

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Solve for the value of x​
ikadub [295]

Answer:

3x+3+2x-8 = 180

5x-5 =180

x= 37

Step-by-step explanation:

mark me as brainliest ❤️

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3 years ago
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Explain how to solve the equation 3.5n = 10.5 , what is the value of n ?
Dovator [93]

Answer:

n=3

Step-by-step explanation:

Divide both sides by 3.5

n=  3.5 /10.5

Simplify  3.5 /10.5  to  3.

N=3

 

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3 years ago
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Two kids, Albert and Bhara, are 20.0 m apart. Albert sees a soccer ball 25.0 m away. If the angle between the line formed by Alb
Darya [45]

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11m

I did it by Geometry and used the scale : 1cm represents 5m

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3 years ago
. A store is going to mark down all of their items by 33%. The cost of a computer you really want is $750. How much will the com
Svetllana [295]

Answer:

$247.50

Step-by-step explanation:

33/100x750=247.50

Since 33% in a fraction is 33/100, use that x 750 and you will get how much the computer gets marked down.

Hope this helps! Thanks.

7 0
2 years ago
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
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