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3 years ago

Just making sure I got this right.

Mathematics

1 answer:

Anon25 [30]3 years ago

6 0

The area is 32 because l x w is the formula of area, and 8 x 4 = 32.

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PLEASE HELP ME!! Kenji is traveling in Europe and renting a car. He is used to thinking of gasoline amounts in gallons, but in E

Contact [7]

Answer:

10.30721

Step-by-step explanation:

This requires conversion, this is Liters to Gallons.

1 LITER= 0.26417205

so knowing this info. we just plug in

39 L = 10.30721 gallons

Hope this helped! :)

7 0

3 years ago

(Solve Problems Involving Proportional Relationships)

gavmur [86]

Okay, so the first thing we have to do is take 6ft and convert it into inches so we get the equation (6x12)+6 6 times 12 is 72 so that gives us 72in plus 6 which is 78 and with that answer we take 78in and divide it by 6.17 which is 12.18. She has a long arm measuring i while feet and 18 inches lol

6 0

3 years ago

Another 20 point question I need help with

Ahat [919]

Answer:

Step-by-step explanation:

Hope this helps u!!

3 0

3 years ago

How do you solve You earn 15n 15n dollars for mowing n lawns. How much do you earn for mowing one lawn? Seven lawns?

Rudik [331]

Answer:

$15 for a lawn, $105 for seven lawns.

Step-by-step explanation:

The question is about the direct ratio problem. Logically, you will earn more if you mow more lawn.

The scheme for this ratio is given below:

15 n_________n lawns

x_________ 1 lawn

$x=\frac{15n*1}{n} = 15$

You will earn 15 dollars for mowing a lawn

When you mow 7 lawns, the scheme will be in this manner:

15 n__________n lawns

x__________7 lawns

$x=\frac{15n*7}{n}=105$

You will earn 105 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:

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