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taurus [48]
3 years ago
11

What is the approximate area of the circle shown?

Mathematics
2 answers:
fredd [130]3 years ago
8 0

Answer:

254

Step-by-step explanation:

lubasha [3.4K]3 years ago
6 0

Answer:

254 cm^2

Step-by-step explanation:

18/2 = radius = 9

9^2(Pi) = 254 cm^2

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The revenue function for a bicycle shop is given by R(x)=x⋅p(x) dollars where x is the number of units sold and p(x)=200−0.4x is
amid [387]

Answer:

maximum revenue is 25000

Step-by-step explanation:

The revenue function for a bicycle shop is given by R(x)=x⋅p(x)

Given p(x)= 200-0.4x

R(x)=x \cdot p(x)

Plug in p(x) in R(x)

R(x)=x \cdot 200-0.4x

R(x)=200x-0.4x^2

Now find out the vertex using formula x=-b/2a

a= -0.4, b=200

x=\frac{-b}{2a} =\frac{-200}{2(-.4)} =250

Plug in 250 for x  in R(x)

R(x)=200x-0.4x^2

R(x)=200(250)-0.4(250)^2=25000

So maximum revenue is 25000

6 0
3 years ago
Interest rates are expected to be 10% for the next 3 years and then to fall to 8% for the following 3 years. How much will an in
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Answer:

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6 0
3 years ago
What is greater 1/2 or 2/4
solniwko [45]
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they are the same

8 0
4 years ago
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Under average driving conditions, the life lengths of automobile tires of a certain brand are found to follow an exponential dis
wariber [46]

Answer:

a) P(X>30000)=1-( 1- e^{-\frac{30000}{30000}})=e^{-1}=0.368

b) P(X>30000|X>15000)=P(X>15000)=1-( 1- e^{-\frac{15000}{30000}})=e^{-0.5}=0.607

Step-by-step explanation:

Previous concepts

The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

P(X=x)=\lambda e^{-\lambda x}, x>0

And 0 for other case. Let X the random variable that represent "life lengths of automobile tires of a certain brand" and we know that the distribution is given by:

X \sim Exp(\lambda=\frac{1}{30000})

The cumulative distribution function is given by:

F(X) = 1- e^{-\frac{x}{\mu}}

Part a

We want to find this probability:

P(X>30000) and for this case we can use the cumulative distribution function to find it like this:

P(X>30000)=1-( 1- e^{-\frac{30000}{30000}})=e^{-1}=0.368

Part b

For this case w want to find this probability

P(X>30000|X>15000)

We have an important property on the exponential distribution called "Memoryless" property and says this:

P(X>a+t| X>t)=P(X>a)  

On this case if we use this property we have this:P(X>30000|X>15000)=P(X>15000+15000|X>15000)=P(X>15000)

We can use the definition of the density function and find this probability:

P(X>15000)=1-( 1- e^{-\frac{15000}{30000}})=e^{-0.5}=0.607

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3 years ago
5x1/5 in simplest form
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Answer:

your mom. ...............

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3 years ago
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