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4 years ago

The triangles below are similar.

Mathematics

1 answer:

Yuri [45]4 years ago

6 0

Answer:

XYZ - RQS

Step-by-step explanation:

Ratio is 4:1

(Using the longest sides of both triangles, 16:4 = 4:1)

YZ corresponds to QS

XY corresponds to RQ

XZ corresponds to RS

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A survey revealed that 10% of workers at a company were not satisfied with their job. If 88 workers selected this option, then h

prohojiy [21]

Answer:

There are 880 workers at the company.

Step-by-step explanation:

With the information provided, you can find the total amount of workers at the company which would represent 100% using a rule of three given that 88 workers represent 10% of workers:

88 workers → 10%

x ← 100%

x=(88*100)/10= 880

According to this, the answer is that there are 880 workers at the company.

5 0

3 years ago

Select all that apply.

lidiya [134]

Answer:

parallelogram, quadrilateral

Step-by-step explanation:

a rectangle is a quadrilateral because it has 4 sides.

it is a a parallelogram because it has two sets of parallel lines in those four sides.

in order for a quadrilateral to be a rhombus, all sides must be the same length. (if a rectangle is a rhombus, it is a square.)

5 0

3 years ago

Read 2 more answers

HELP!!! HURRY!!! NO SPAM!!!! Identify the translation of the figure with the vertices W(2,−3), X(5,−3), Y(5,−5) and Z(2,−5), alo

kakasveta [241]

Answer:

W - (-4,4)

X - (-1,4)

Y - (-1,2)

Z - (-4,2)

Step-by-step explanation:

hope it helps. :)

6 0

3 years ago

Let X and Y be discrete random variables. Let E[X] and var[X] be the expected value and variance, respectively, of a random vari

Ulleksa [173]

Answer:

(a) $E[X+Y]=E[X]+E[Y]$

(b) $Var(X+Y)=Var(X)+Var(Y)$

Step-by-step explanation:

Let X and Y be discrete random variables and E(X) and Var(X) are the Expected Values and Variance of X respectively.

(a)We want to show that E[X + Y ] = E[X] + E[Y ].

When we have two random variables instead of one, we consider their joint distribution function.

For a function f(X,Y) of discrete variables X and Y, we can define

$E[f(X,Y)]=\sum_{x,y}f(x,y)\cdot P(X=x, Y=y).$

Since f(X,Y)=X+Y

$E[X+Y]=\sum_{x,y}(x+y)P(X=x,Y=y)\\=\sum_{x,y}xP(X=x,Y=y)+\sum_{x,y}yP(X=x,Y=y).$

Let us look at the first of these sums.

$\sum_{x,y}xP(X=x,Y=y)\\=\sum_{x}x\sum_{y}P(X=x,Y=y)\\\text{Taking Marginal distribution of x}\\=\sum_{x}xP(X=x)=E[X].$

Similarly,

$\sum_{x,y}yP(X=x,Y=y)\\=\sum_{y}y\sum_{x}P(X=x,Y=y)\\\text{Taking Marginal distribution of y}\\=\sum_{y}yP(Y=y)=E[Y].$

Combining these two gives the formula:

$\sum_{x,y}xP(X=x,Y=y)+\sum_{x,y}yP(X=x,Y=y) =E(X)+E(Y)$

Therefore:

$E[X+Y]=E[X]+E[Y] \text{ as required.}$

(b)We want to show that if X and Y are independent random variables, then:

$Var(X+Y)=Var(X)+Var(Y)$

By definition of Variance, we have that:

$Var(X+Y)=E(X+Y-E[X+Y]^2)$

$=E[(X-\mu_X +Y- \mu_Y)^2]\\=E[(X-\mu_X)^2 +(Y- \mu_Y)^2+2(X-\mu_X)(Y- \mu_Y)]\\$Since we have shown that expectation is linear$\\=E(X-\mu_X)^2 +E(Y- \mu_Y)^2+2E(X-\mu_X)(Y- \mu_Y)]\\=E[(X-E(X)]^2 +E[Y- E(Y)]^2+2Cov (X,Y)$

Since X and Y are independent, Cov(X,Y)=0

$=Var(X)+Var(Y)$

Therefore as required:

$Var(X+Y)=Var(X)+Var(Y)$

7 0

3 years ago

$700 is invested at 4% per annum. How long will it take for the amount to reach $784?

Blababa [14]

Answer:

3yrs

Step-by-step explanation:

Given parameters:

Capital = $700

Percentage interest = 4% per annum

Unknown:

Time it will take for amount to be = $784

Solution:

To find the simple interest on an amount;

I = $\frac{PRT}{100}$

P is the principal

R is the rate

T is the time

I is the interest

Insert the parameters:

I = $\frac{700x 4 x T}{100}$

I = 28T

So;

At the end of the duration:

Principal + Interest = Amount

700+28T = 784

28T = 784 - 700

28T = 84

T = 3yrs

5 0

3 years ago