All categories

2 years ago

What is X equal to? PS it’s not 180

Mathematics

1 answer:

AVprozaik [17]2 years ago

7 0

Answer:

x = 47

Step-by-step explanation:

86° and 2x° are supplementary angles, which means that added together they should equal 180° (which is a line). Aka

86 + 2x = 180 (Let's solve for x) (subtract both sides by 86 to get x on one side)

2x = 94 (divide both sides by 2 to get x by itself)

x = 47

You might be interested in

True or false: the output correspond to the vertical axis

liraira [26]

True the output or dependent variable is on the y (vertical) axis

5 0

3 years ago

Evaluate C_n.xP^xQn-x For the given n=7, x=2, p=1/2

r-ruslan [8.4K]

Answer:

The value of given expression is $\frac{21}{128}$ .

Step-by-step explanation:

Given information: n=7, x=2, p=1/2

$q=1-p=1-\frac{1}{2}=\frac{1}{2}$

The given expression is

$C(n,x)p^xq^{n-x}$

It can be written as

$^nC_xp^xq^{n-x}$

Substitute n=7, x=2, p=1/2 and q=1/2 in the above formula.

$^7C_2(\frac{1}{2})^2(\frac{1}{2})^{7-2}$

$\frac{7!}{2!(7-2)!}(\frac{1}{2})^2(\frac{1}{2})^{5}$

$\frac{7!}{2!5!}(\frac{1}{2})^{2+5}$

$\frac{7\times 6\times 5!}{2\times 5!}(\frac{1}{2})^{2+5}$

$21(\frac{1}{2})^{7}$

$\frac{21}{128}$

Therefore the value of given expression is $\frac{21}{128}$ .

7 0

3 years ago

Discuss some ways that the concepts of covariance and correlation are similar or different.

natima [27]

Answer:

Step-by-step explanation:

Key Differences Between Covariance and Correlation

The following points are noteworthy so far as the difference between covariance and correlation is concerned:

1. A measure used to indicate the extent to which two random variables change in tandem is known as covariance. A measure used to represent how strongly two random variables are related known as correlation.

2. Covariance is nothing but a measure of correlation. On the contrary, correlation refers to the scaled form of covariance.

3. The value of correlation takes place between -1 and +1. Conversely, the value of covariance lies between -∞ and +∞.

4. Covariance is affected by the change in scale, i.e. if all the value of one variable is multiplied by a constant and all the value of another variable are multiplied, by a similar or different constant, then the covariance is changed. As against this, correlation is not influenced by the change in scale.

5. Correlation is dimensionless, i.e. it is a unit-free measure of the relationship between variables. Unlike covariance, where the value is obtained by the product of the units of the two variables.

You can find more here: http://keydifferences.com/difference-between-covariance-and-correlation.html#ixzz4qg5YbiGj

4 0

2 years ago

What’s the correct answer for this? Select the ones that apply

Verizon [17]

Answer:

B, C and E

Step-by-step explanation:

1) Proving that opposite sides have equal slopes as they are parallel also

2) Proving that opposite sides are parallel and equal

5 0

3 years ago