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mihalych1998 [28]
2 years ago
15

Please help i will give brainliest

Mathematics
2 answers:
erma4kov [3.2K]2 years ago
7 0

Answer:

it is 42 degrees

Step-by-step explanation:

the angle x is the same as the parallel angle

enot [183]2 years ago
5 0

Answer:

x = 48

Step-by-step explanation:

First, We know that it a supplementary angles

Note:

Supplementary angles are angles measures add up to 180 degrees.

Complementary angles are angles measure add up to 90 degrees.

Hence, it 180 degrees.

Then You see that "42 degrees" Hence 180 - 42 =138 Then You see that Box in the corner that is a complementary angles which also means 90 degrees..

138 - 90 =48

Therefore it 48, 90 ,138

Now Let's find x..{ I have a picture below}
You see the red line?  It equal to the 42 degrees..

The Blue box lines makes  a 90 degrees..

Hence it the same 180 - 42 - 90=48

Thus, x = 48

[RevyBreeze}

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What is the product of the complex numbers 3 - 4iand 6+i where i= -1
mixas84 [53]

Answer:

35

Step-by-step explanation:

Since i=-1, we can rewrite the equation as 3-[4(-1)} multiplied by 6+(-1). Since

4 x-1=, 3-(-4)=7. 6-1=5, and 7x5=35.

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3 years ago
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Select the pair of consecutive integers between which a real zero of f(x) = x^3 + 5x^2 –x – 6 exists.
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Determine whether a probability distribution is given. If a probability distribution is given, find its mean and standard deviat
drek231 [11]

Answer:

E(X) = \sum_{i=1}^n X_i P(X_i) = 0*0.031 +1*0.156+ 2*0.313+3*0.313+ 4*0.156+ 5*0.031 = 2.5

We can find the second moment given by:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 0^2*0.031 +1^2*0.156+ 2^2*0.313+3^2*0.313+ 4^2*0.156+ 5^2*0.031 =7.496

And we can calculate the variance with this formula:

Var(X) =E(X^2) -[E(X)]^2 = 7.496 -(2.5)^2 = 1.246

And the deviation is:

Sd(X) = \sqrt{1.246}= 1.116

Step-by-step explanation:

For this case we have the following probability distribution given:

X          0            1        2         3        4         5

P(X)   0.031   0.156  0.313  0.313  0.156  0.031

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).  

We can verify that:

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

And P(X_i) \geq 0, \forall x_i

So then we have a probability distribution

We can calculate the expected value with the following formula:

E(X) = \sum_{i=1}^n X_i P(X_i) = 0*0.031 +1*0.156+ 2*0.313+3*0.313+ 4*0.156+ 5*0.031 = 2.5

We can find the second moment given by:

E(X^2) = \sum_{i=1}^n X^2_i P(X_i) = 0^2*0.031 +1^2*0.156+ 2^2*0.313+3^2*0.313+ 4^2*0.156+ 5^2*0.031 =7.496

And we can calculate the variance with this formula:

Var(X) =E(X^2) -[E(X)]^2 = 7.496 -(2.5)^2 = 1.246

And the deviation is:

Sd(X) = \sqrt{1.246}= 1.116

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3 years ago
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Shkiper50 [21]

Answer:

0.001

Step-by-step explanation:

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Step-by-step explanation:

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