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Ipatiy [6.2K]
3 years ago
6

A compact car gets 36 miles of gas how many miles can the car travel on 6 3/4 of gas

Mathematics
2 answers:
mel-nik [20]3 years ago
7 0

Answer:

243

Step-by-step explanation:

Lady_Fox [76]3 years ago
3 0
6+(3•4)=1273737828274&292937489292
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A painter charges by the square foot and charges you $1,875 to paint a 750 square foot rental house. If you need 1300 square foo
Stella [2.4K]

In this question , it is given that

A painter charges by the square foot and charges you $1,875 to paint a 750 square foot rental house.

For 750 square foot, he charges $1875.

So for 1 square foot, he charges

= \frac{1875}{750} = $2.50 \ \per \ square \ foot

And for 1300 square foot, he charges

= 2.50*1300 = $3250

3 0
3 years ago
Marking brainliest right away!!!!
GarryVolchara [31]

Answer:

(-3,-1)

Step-by-step explanation:

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3 years ago
At the gas station, each liter of gas costs $ 3 $3dollar sign, 3, but there's a promotion that for every beverage you purchase y
IgorC [24]

Answer:

Yes! Our total savings on gas proportional to the number of beverages you purchase.

Step-by-step explanation:

Here, each liter of gas costs $3.

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6 0
3 years ago
What is the are of a circle that measures 12 ft in diameter?<br>​
Alexus [3.1K]

Answer:

113.04

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5 0
2 years ago
A certain paper suggested that a normal distribution with mean 3,500 grams and a standard deviation of 560 grams is a reasonable
Natalka [10]

Answer: the probability that a randomly selected Canadian baby is a large baby is 0.19

Step-by-step explanation:

Since the birth weights of babies born in Canada is assumed to be normally distributed, we would apply the formula for normal distribution which is expressed as

z = (x - µ)/σ

Where

x = birth weights of babies

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σ = standard deviation

From the information given,

µ = 3500 grams

σ = 560 grams

We want to find the probability or that a randomly selected Canadian baby is a large baby(weighs more than 4000 grams). It is expressed as

P(x > 4000) = 1 - P(x ≤ 4000)

For x = 4000,

z = (4000 - 3500)/560 = 0.89

Looking at the normal distribution table, the probability corresponding to the z score is 0.81

P(x > 4000) = 1 - 0.81 = 0.19

5 0
3 years ago
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