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irina [24]
4 years ago
6

1)21 is what percent of 60?

Mathematics
1 answer:
Elan Coil [88]4 years ago
4 0
1) 21/60=0.35=35%
2)15 darts*.40=6 hit bulls eye 15 darts-6 hit bulls eye=9 that didn’t hit bulls eye
Hoped that helped
~The boi Carlos
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If a large Rubik's cube has a volume of 1331 cubic inches what is its surface area ?
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This cube would have a surface area of 726 inches squared. To get this you take the cube root of 1331 to get 11. This 11 is a side length so you use it to find the area of a side: 11*11 = 121. Then multiply this 121 by 6 because there are 6 sides to a cube and get 726.
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Alexa needs to order Seventeen-fifths, 3Three-fourths, and StartFraction 19 over 20 EndFraction from least to greatest. Which st
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Step-by-step explanation:

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3 years ago
The scheduled arrival time for a daily flight from Boston to New York is 9:30 am. Historical data show that the arrival time fol
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Answer:

a) E(A)=\frac{0+50}{2}=25 min

Sd(A) =\sqrt{208.3333 min^2}=14.43 min

b) P(A>25) = 1-P(A\leq 25)=1-\frac{25-0}{50-0}= 1-0.5 = 0.5

Step-by-step explanation:

Part a

Let A the random variable that represent "The arrival time (minutes) for a daily flight from Boston to New York ". And we know that the distribution of A is given by:

A\sim Uniform(a=0 ,b=50)

We select our starting point a=0 representing 9:05 AM and the amount of minutes between 9:05 am to 9:55 am are 50 ans for this reason b =50

For ths uniform distribution the expected value is given by E(X) =\frac{a+b}{2} where X is the random variable, and a,b represent the limits for the distribution. If we apply this for our case we got:

E(A)=\frac{0+50}{2}=25 min

And the variance is given by:

Var(A)= \frac{(b-a)^2}{12}=\frac{(50-0)^2}{12}=208.3333 min^2

And the standard deviation by definition is just the square root of the variance:

Sd(A) =\sqrt{208.3333 min^2}=14.43 min

Part b

If we convert 9:30 AM to our scale we know that we have 25 minutes between 9:05 AM and 9:30 AM.

For this case we want to find this probability: P(A>25)

And we can find this probability using the complement rule like this:

P(A>25) = 1-P(A\leq 25)

And we can use the cumulative distribution function given by:

F(A) = \frac{A-a}{b-a}

And we got:

P(A>25) = 1-P(A\leq 25)=1-\frac{25-0}{50-0}= 1-0.5 = 0.5

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