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babymother [125]
3 years ago
6

Last week Fred had eleven dollars. He washed cars over the weekend and now has fifty - three dollars. How much money did he make

washing cars?
Mathematics
2 answers:
Neko [114]3 years ago
6 0

Answer:

11-53=42

Step-by-step explanation:

EastWind [94]3 years ago
5 0

Answer:

$42

Step-by-step explanation:

I did 53 minus 11 which is 42.

Cheers,

Yeet

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Point c’(-4,-3) is the same image of C(-2,-3) under a translation
vivado [14]

Answer:

the translation is to the left 2 times

Step-by-step explanation:

-2-2=-4

there is no changes to the y value

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umka2103 [35]
2b + 34greater then or equal to 54

5 0
3 years ago
I need help with this question???
Sholpan [36]

Answer:

A

Step-by-step explanation:

Because -20 is more than -17 by -3

6 0
3 years ago
<img src="https://tex.z-dn.net/?f=%20%5Cfrac%7Bx%7D%7B19%7D%20%20%3D%206" id="TexFormula1" title=" \frac{x}{19} = 6" alt=" \fra
Alex17521 [72]

[ Answer ]

\boxed{X \ = \ 114}

[ Explanation ]

\frac{x}{19} = 6

Multiply Both Sides By 19

\frac{x}{19} = 6 · 19

Simplify:

X = 114

Check Your Work:

\frac{114}{19}

Simplify:

= 6

\boxed{[ \ Eclipsed \ ]}

5 0
3 years ago
The physical plant at the main campus of a large state university receives daily requests to replace fluorescent light bulbs. Th
ankoles [38]

We have been given that the distribution of the number of daily requests is bell-shaped and has a mean of 38 and a standard deviation of 6. We are asked to find the approximate percentage of lightbulb replacement requests numbering between 38 and 56.

First of all, we will find z-score corresponding to 38 and 56.

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

z=\frac{38-38}{6}=\frac{0}{6}=0

Now we will find z-score corresponding to 56.

z=\frac{56-38}{6}=\frac{18}{6}=3

We know that according to Empirical rule approximately 68% data lies with-in standard deviation of mean, approximately 95% data lies within 2 standard deviation of mean and approximately 99.7% data lies within 3 standard deviation of mean that is -3\sigma\text{ to }3\sigma.

We can see that data point 38 is at mean as it's z-score is 0 and z-score of 56 is 3. This means that 56 is 3 standard deviation above mean.

We know that mean is at center of normal distribution curve. So to find percentage of data points 3 SD above mean, we will divide 99.7% by 2.

\frac{99.7\%}{2}=49.85\%

Therefore, approximately 49.85\% of lightbulb replacement requests numbering between 38 and 56.

6 0
3 years ago
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