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bulgar [2K]
3 years ago
15

A parking lot has 85 cars and trucks in it. There are 17 more trucks than cars. How many each are they

Mathematics
1 answer:
NARA [144]3 years ago
6 0

Answer:

there are 51 cars and 34 trucks

hope this helps

Step-by-step explanation:

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Ok last question plz help me with the question for this topic dont wanna get it wrong
Crank

For this problem plug in the given x and y values:

For the first one: No

second one: No

third one: Yes

fourth one: No

7 0
4 years ago
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Drag the tiles to the correct boxes to complete the pairs. Not all tiles will be used.
S_A_V [24]

Answer:

\frac{16x^2+48x}{8x} = 2x+6\\\frac{56x^2-14x}{7x} = 8x-2\\\frac{18x^2+15x}{3x}=6x+5\\\frac{20x^2-32x}{4x}=5x-8

Step-by-step explanation:

We will solve the division one by one:

\frac{16x^2+48x}{8x} = \frac{8x(2x+6)}{8x} = 2x+6\\\frac{56x^2-14x}{7x}=\frac{7x(8x+2)}{7x}=8x+2\\\frac{18x^2+15x}{3x} =\frac{3x(6x+5)}{3x} = 6x+5\\\frac{20x^2-32x}{4x}=\frac{4x(5x-8)}{4x}=5x-8

6 0
3 years ago
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(as a expression)
motikmotik

Answer:

4 or 5

Step-by-step explanation:

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3 years ago
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If Scott’s monthly sales stay relatively the same, can he hire an employee with an average monthly salary of $1,000?
kozerog [31]

Answer:

yes

Step-by-step explanation:

bob says so he works at Scott

4 0
3 years ago
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A manufacturer knows that their items have a normally distributed lifespan, with a mean of 5.8 years, and
yarga [219]

Answer:

Less than 3.6 years.

Step-by-step explanation:

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean of 5.8 years, and  standard deviation of 1.7 years.

This means that \mu = 5.8, \sigma = 1.7

The 10% of items with the shortest lifespan will last less than how many years?

Less than the 10th percentile, which is X when Z has a p-value of 0.1, so X when Z = -1.28.

Z = \frac{X - \mu}{\sigma}

-1.28 = \frac{X - 5.8}{1.7}

X - 5.8 = -1.28*1.7

X = 3.6

Less than 3.6 years.

4 0
3 years ago
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