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Illusion [34]
3 years ago
9

Can you help me please ​

Mathematics
1 answer:
earnstyle [38]3 years ago
7 0

Answer:

25/6

Step-by-step explanation:

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The length of a rectangle is 7 inches more than the width. The perimeter is 30 inches. Find the length and the width of the rect
saul85 [17]

Answer:

that's all about my answer

8 0
3 years ago
Colton earns $7 per hour plus $1.50 for each pizza delivery. The expression 7h + 1.50d can be used to find the total earings aft
Rina8888 [55]
Since the expression 7h + 1.50d can be used to find the total earnings. We just need to substitute the given data to the expression to solve the problem.

7(15) + 1.50(8)
105 + 12 = 117

Colton's total earnings after working 15 hours and making 8 deliveries is 117 dollars. 

8 0
3 years ago
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

7 0
3 years ago
**due today, please help!!**
liberstina [14]

Answer:

i got you!

Step-by-step explanation:

6(x + 2)

3(x + y)

5(2x + 5)

3(27x + 16)

8(3x +2y + 1)

3( 1 + 8x +2y)

9( 9x -4y- 2)

6 (9x +2 )

4 0
2 years ago
Read 2 more answers
What is the answer to -2+2x = -x + 2 + x
svp [43]

Answer:

x = 2

Step-by-step explanation:

4 0
3 years ago
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