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Lostsunrise [7]
3 years ago
11

You earn $30 for washing 5 cars. How much do you earn per car?

Mathematics
2 answers:
kow [346]3 years ago
7 0

Answer:

You get 6 dollars per car

Step-by-step explanation:

I divided 30 by 5

valentina_108 [34]3 years ago
3 0

Answer: $6 per car

Step-by-step explanation:

If it's 30 dollars for 5 cars and we want to know how much it is for 1 car we need to divide both by 5

\frac{30}{5} =6\\\frac{5}{5} =1

$6 per one car

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Interest of 1 million dollars 23% and 6 years please solve and will give brainliest to correct answer
Otrada [13]

Answer:

$2,462,825.99 is the interest accrued

Step-by-step explanation:

hope this helps

8 0
3 years ago
f(x)=3x^(4)-5x^(3)-5x^(2)+5x+2 The number 3 is an upper bound for the set of roots of this polynomial function True or False
Leona [35]

Answer: TRUE

Step-by-step explanation: The number 3 is an upper bound because use 3 as a multiplyer of each bcoefficient of the polynomial and at each multiple,subtract the next coefficient from it. if all result after subtraction show positive, then the number used is an upper bound. This method is known as the synthetic division.

3        3      -5     -5        5         2

         0        9     12       21       78

         3        4      7        26       80

7 0
3 years ago
Factor -8 out of 56a-64 <br> PLEASE HELP
Pachacha [2.7K]

Answer:

-8(8-7a)

Step-by-step explanation:

56a-64=-8(8-7a)

7 0
3 years ago
How do you factor 4a^2+11a-20
bixtya [17]
You have to factor by grouping.
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4 0
3 years ago
Question 18 Item 18 The distribution of the number of moths captured per night by a certain moth trap is approximately normal wi
juin [17]

Answer:

Standard deviation 46.3

Step-by-step explanation:

A 28% of the distribution is equivalent to a z score of -0.5828, you can use a z table to find that.

Z score is calculated as follows:

z = \frac{x-\mu}{\sigma}

x is the number being evaluated

μ is the mean

σ is the standard deviation

And it is used to calculate how many standard deviations you are from the mean of the sample.

Replacing with the known information you can calculate the standard deviation:

\sigma=\frac{x-\mu}{z} =\frac{76-103}{-0.5828}= 46.3

4 0
3 years ago
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