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1 year ago

13

How much is a square mile

1 answer:

Vinvika [58]1 year ago

8 0

a square mile is equivalent to 27878400 square feet

You might be interested in

Express each of the following percentages as a fraction. 45%

vesna_86 [32]

Answer:

9/20

Step-by-step explanation:

45% can be written as

= 45/100

= 9/20

Hope it will help u..

3 0

2 years ago

Read 2 more answers

Which shows a correct order to solve this story problem? Each morning Mike bikes 3.5 miles. Each afternoon he bikes 2.3 miles. H

Grace [21]

Ok so
since we h ave
3.5=1 day's morning
and
2.3=1 day's afternoon
we need to add them to find 1 day and multiply by 6 (number of days)
that answer is not listted so we make into anohter form
this wold be
6 times (3.5 +2.3)
if we distributed
a(b+c)=ab+ac
6(3.5+2.3)=6 times 3.5+6 times 2.3

this is D

3 0

3 years ago

Read 2 more answers

PEASE HELP DUE IN 5 MINUTES I WILL MARK YOU BRAINLIST

erma4kov [3.2K]

23.4 ft2

Step-by-step explanation:

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6 0

3 years ago

the standard deviation of 100 random samples of the same size is approximated to be 0.98. what is the margin of error

pogonyaev

Answer:

MOE= ± 0.098

Step-by-step explanation:

-The margin of error is calculated using the formula:

$MOE=\pm \frac{\sigma}{\sqrt{n}}$

#Substitute to solve for MOE:

$MOE=\pm \frac{\sigma}{\sqrt{n}}\\\\=\frac{0.98}{\sqrt{100}}\\\\=\pm 0.098$

Hence, the margin of error is ± 0.098

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