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Flauer [41]
2 years ago
11

(a) Complete the table of values for y- 2x + 5 - 0 1 2 1 5 Y

Mathematics
1 answer:
maxonik [38]2 years ago
5 0

Answer:

Step-by-step explanation:

I think you meant y = -2x + 5.

x    y = -2x + 5

0                       5

1      -2(1) + 5 =   3

2     -2(2) + 5 =   1

Note that every time you increase x by 1, y decreases by 2.

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15. Madison invested in a certificate of deposit for 4 years at a 6% interest rate. At the end of the 4 years, the value
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2455.49

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3100=x(1+.06)^4\\x=2455.490356

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Simplify 5x2(5x2− 3x − 1).
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If a new car is valued at $26,000 and 10 years later it is valued at $7000, then what is the average rate of change
frez [133]

Answer:

The change in value is 19,000 altogether and 1900/year

Step-by-step explanation:

Change in value:

initial value - final value

= $26,000 - $7000

= $19,000

Change in value/year:

change in value/time

= $19,000/10

= $1900/year

7 0
2 years ago
How do you work out 510 divided by 15
Gala2k [10]

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34

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
3 years ago
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