All categories

3 years ago

A bank offers a APR of 3.1 compound daily

Mathematics

1 answer:

Airida [17]3 years ago

8 0

Sure does -----------------

You might be interested in

The equation is equivalent to u = rst. <br><br> True/ False

Jlenok [28]

The equation r = u/st is equivalent to u = rst .

True

7 0

3 years ago

So ima ask a question am i racist and trying to act black

vfiekz [6]

Answer:

oooooooooooooooooooooooooooooooooooooooooooooooo

8 0

2 years ago

A 12 sided die is rolled. the set of equally likely outcomes is { 1,2,3,4,5,6,7,8,9,10,11,12}. find the probability of rolling a

Anton [14]

Probability is 4/12, or 1/3

5 0

3 years ago

Read 2 more answers

Does anyone know how to do these?

ale4655 [162]

Answer:

Step-by-step explanation:

f(x) = $\sqrt[3]{4x}$

g(x) = 2x + 3

$\frac{f}{g}$ (x) = 'f' divided by 'g'

$\frac{\sqrt[3]{4x} }{2x+3}$ Substitute.

x cannot be - $\frac{3}{2}$ because that would create a zero in the denominator.

That's a no-no.

It makes it 'undefined'

7 0

3 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