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AlladinOne [14]
3 years ago
12

Pls help i’ll give brainliest

Mathematics
1 answer:
ivann1987 [24]3 years ago
7 0

Answer:

the third one

Step-by-step explanation:

The domain of y=sqrt(x) is all real numbers greater than or equal to 0

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The temperature at noon on a winter day was 8°C. At midnight, the temperature had dropped 15°C. What was the temperature at midn
klio [65]
All you have to look at is the word "dropped" and you know it's a subtraction problem. In this case, it would be 8 - 15.

8 - 15 = -7

It would be -7<span>°C at midnight. I hoped this helped! :)</span>
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3 years ago
Kelsey works 12 hours per week. How much does she make per hours
nataly862011 [7]
Well for minimum wage it would be $7.25 but it depends on the state
5 0
4 years ago
when you reverse the digits in a certain two digit number you increase its value by 9 find the sum of its digits is 17
melamori03 [73]
The answer is 80.
80 flipped is 08, which is equal to 8, then 8+9=17
3 0
3 years ago
Plz help ill give you brainlist
kirill [66]
9x - 37 = - 118

add 37 to both sides
9x - 37 + 37 = -118 + 37
simplify
9x = -81
divide both sides by 9
9x/9 = -81/9
simplify
x = - 9

answer
x = -9
5 0
3 years ago
Read 2 more answers
The distribution of the annual incomes of a group of middle management employees approximated a normal distribution with a mean
kondor19780726 [428]

Answer:

68% of the incomes lie between $36,400 and $38,000.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ =  $37,200

Standard Deviation, σ = $800

We are given that the distribution of SAT score is a bell shaped distribution that is a normal distribution.

Empirical rule:

  • Almost all the data lies within three standard deviation of mean for a normally distributed data.
  • About 68% of data lies within one standard deviation of mean.
  • About 95% of data lies within two standard deviation of mean.
  • About 99.7% of data lies within three standard deviation of mean.

Thus, 68% of data lies within one standard deviation.

\mu \pm \sigma\\=37200 \pm 800\\=(36400,38000)

Thus, 68% of the incomes lie between $36,400 and $38,000.

5 0
3 years ago
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