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3 years ago

Please Help!!!!! Branliest and Extra Points will be given!!!!

Mathematics

2 answers:

Vikentia [17]3 years ago

7 0

Answer:

The "a" and "b" in the Theorem will be height and half the length of one side, and "c" will be slant height, since slant height is the hypotenuse of the triangle

Step-by-step explanation:

$a^{2} + b^{2}$ = $c^{2}$

$22^{2} + 11^{2} = 784 + 121 =$ 905

$= \sqrt{905}$

= 30.083217913

I am pretty sure about it

But mark me the brainliest!

Olenka [21]3 years ago

6 0

Answer:

slant hight is 30 cm.

Step-by-step explanation:

ur welcome!!!!

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Find the equation of the line I in the following picture. The shapes under the lines are squares

julia-pushkina [17]

If you look carefully at the graph, you may see that the slope of the line is
3-4 -1
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y-y1 = m (x-x1)

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3 years ago

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3 years ago

F(x) = 8x - 10

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3 years ago

Read 2 more answers

A sample of 100 cars driving on a freeway during a morning commute was drawn, and the number of occupants in each car was record

makkiz [27]

Answer:

$E(X)=1*0.74 +2*0.1 +3*0.11+ 4*0.03 +5*0.02=1.49$

$Var(X)=E(X^2)-[E(X)]^2 =3.11-(1.49)^2 =0.8899$

$Sd(X)=\sqrt{Var(X)}=\sqrt{0.8899}=0.943$

Step-by-step explanation:

For this case we have the following data given:

X 1 2 3 4 5

F 74 10 11 3 2

The total number of values are 100, so then we can find the empirical probability dividing the frequency by 100 and we got the followin distribution:

X 1 2 3 4 5

P(X) 0.74 0.10 0.11 0.03 0.02

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

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:

$E(X)=1*0.74 +2*0.1 +3*0.11+ 4*0.03 +5*0.02=1.49$

In order to find the standard deviation we need to find first the second moment, given by :

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

And using the formula we got:

$E(X^2)=1^2 *0.74 +2^2 *0.1 +3^2 *0.11 +4^2 0.03 +5^2 *0.02=3.11$

Then we can find the variance with the following formula:

$Var(X)=E(X^2)-[E(X)]^2 =3.11-(1.49)^2 =0.8899$

And then the standard deviation would be given by:

$Sd(X)=\sqrt{Var(X)}=\sqrt{0.8899}=0.943$

7 0

3 years ago