All categories

3 years ago

Please help 10 points

Mathematics

2 answers:

Mrrafil [7]3 years ago

7 0

Answer:

Step-by-step explanation:

21-6 = 15.

the answer to the question

WARRIOR [948]3 years ago

5 0

Answer:

FG = 15

Step-by-step explanation:

Note that

EF + FG = EG ← substitute values into equation, that is

6 + FG = 21 ( subtract 6 from both sides )

FG = 21 - 6 = 15

You might be interested in

1. You have 23 coins, all quarters and dimes, totaling $4.85. How many of each coin do you<br> have?

Ksju [112]

the answer is this...

.25x+.10y=4.85

x+y=25

7 0

3 years ago

Using the point-slope formula, what is the equation of the line that passes through the points (1,5) and (0, 0)?

DerKrebs [107]

Answer:

y =5x

Step-by-step explanation:

$y_{1}-y_{2} = m(x_{1} - x_{2} )$

(5 - 0) = m(1 - 0)

5 = m(1)

5 = m

$y_{1}-y_{2} = m(x_{1} - x_{2} )$

y - 5 = 5(x - 1)

y - 5 = 5x - 5

y = 5x -5 + 5

y = 5x

7 0

3 years ago

Principal, $3000; Annual interest rate, 5.5%; tome, 2 years <br> The balance after 2 years is ?

Kisachek [45]

Answer:

simple interest: $3330

compound interest: $6339.08

Step-by-step explanation:

7 0

3 years ago

Find the area of the shape shown below.

hichkok12 [17]

Answer:

26.75 units ^2

Step-by-step explanation:

Since the shape is complex, divide it into 3 right angled triangles and one square. Find the area of these individual shapes first, then fin the sum of these area to calculate the ultimate area of e complex shape:

Triangle 1 = 1/2 x 2 x 5 = 5 units ^2

Triangle 2 = 1/2 x 2 x 2 = 2 units ^2

Triangle 3 = 1/2 x 3.5 x 9 = 15.75 units ^2

Square = 2 x 2 = 4 units squared.

Now add all these up 15.75 + 2 + 5 + 4 = 26.75 units squared.

Hope this helps

6 0

3 years ago

The cumulative distribution function f(x) of a discrete random variable x is given by f(0) =. 30, f(1) =. 70, f(2) =. 90 and f(3

Lisa [10]

Correlation between x & y is 0.6125.

In probability theory and statistics, the cumulative distribution function of a real-valued random variable X, or simply the distribution function of X weighted by x, is the probability that X takes a value less than or equal to x.

The cumulative distribution function (CDF) of a random variable X is defined as FX(x)=P(X≤x) for all x∈R. Note that the subscript X indicates that this is the CDF of the random variable X. Also note that the CDF is defined for all x∈R. Let's look at an example.

Learn more about cumulative distribution here: brainly.com/question/24756209

#SPJ4

7 0

1 year ago