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3 years ago

How can you could use the distributive property and mentality to find 5×198

Mathematics

2 answers:

docker41 [41]3 years ago

8 0

Answer: Round.

Step-by-step explanation:

Round 198 to 200. 200 x 5 = 1000, so the answer is about 1000.

Lunna [17]3 years ago

3 0

Answer: (5x100)+(5x90)+(5x8)

Step-by-step explanation:

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Solve 2|3x-4|+4=12 show your work

slamgirl [31]

Answer:

0.6

Step-by-step explanation:

2×3x+4+4=12

6X+8=12

6x=12-8

6x=4

Divide by 6

X=0.6

5 0

2 years ago

19.27 - (- 42.1)= subtract

Damm [24]

Answer:

61.37

Step-by-step explanation:

when you subtract twice you are essentially adding

19.27 + 42.1 is that you are doing

and that is

61.37

8 0

2 years ago

Read 2 more answers

What are the values of AB and DE in parallelogram ABCD? AB=? PLEASE HELP

GarryVolchara [31]

Answer:

AB=12

ED=6

Step-by-step explanation:

AB=CD=12

BC=AD=26

ED=26-20=6

5 0

2 years ago

Please help :(( ive been stuck for a while and im super late

Degger [83]

Answer:

-5^11

Step-by-step explanation:

3 0

2 years ago

g If the economy improves, a certain stock stock will have a return of 23.4 percent. If the economy declines, the stock will hav

dusya [7]

Answer:

$E(X) = 23.4* 0.67 -11.9*0.33= 11.759 \%$

Now we can find the second central moment with this formula:

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

And replacing we got:

$E(X^2) = (23.4)^2* 0.67 +(-11.9)^2*0.33= 413.5965$

And the variance is given by:

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

And replacing we got:

$Var(X) = 413.5965 -(11.759)^2 =275.5105$

And finally the deviation would be:

$Sd(X) = \sqrt{275.5105}= 16.599 \%$

Step-by-step explanation:

We can define the random variable of interest X as the return from a stock and we know the following conditions:

$X_1 = 23.4 , P(X_1) =0.67$ represent the result if the economy improves

$X_2 = -11.9 , P(X_1) =0.33$ represent the result if we have a recession

We want to find the standard deviation for the returns on the stock. We need to begin finding the mean with this formula:

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

And replacing the data given we got:

$E(X) = 23.4* 0.67 -11.9*0.33= 11.759 \%$

Now we can find the second central moment with this formula:

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

And replacing we got:

$E(X^2) = (23.4)^2* 0.67 +(-11.9)^2*0.33= 413.5965$

And the variance is given by:

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

And replacing we got:

$Var(X) = 413.5965 -(11.759)^2 =275.5105$

And finally the deviation would be:

$Sd(X) = \sqrt{275.5105}= 16.599 \%$

7 0

2 years ago