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Lapatulllka [165]
3 years ago
14

Jill earned $40 from a carpool plus $9 per hour (h) babysitting this week. Which of the following expressions best represents Ji

ll's income for the week?
A 9 + 40h NEED HELP PLZ SOMEONE :(
B 9 + h + 40
C 9h + 40
D 9 + 40
Mathematics
2 answers:
ale4655 [162]3 years ago
8 0

Answer:

9h + 40

Step-by-step explanation:

Since Jill earns 9 dollars per hour, you multiply the amount of hours she works by the amount she makes per hour (9h), then you add 40 which is a set amount.

y = 9h + 40

zepelin [54]3 years ago
7 0
I think it’s C. 9h + 40
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Yemi saves 150 daily how much will it save in two weeks​
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$2,100

Step-by-step explanation:

In two weeks there is 14 days so, I times 150 by 14 which is 2100.

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4 0
2 years ago
Instructions: Find the missing side. Round your answer to the nearest tenth.<br> 54°<br> 29
Gemiola [76]

Answer:

x = 23.5

Step-by-step explanation:

Since this is a right triangle, we can use trig functions

sin theta = opp / hyp

sin 54 = x / 29

29 sin 54 = x

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To the nearest tenth

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6 0
2 years ago
The average student loan debt for college graduates is $25,150.
Aleks04 [339]

Using the normal distribution, it is found that:

a) X \approx N(25150, 12050)

b) There is a 0.5859 = 58.59% probability that the college graduate has between $14,200 and $33,950 in student loan debt.

c) Low: $23,519.65, High: $26,580.35.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 25150, \sigma = 12050.

Hence the distribution of X can be described as follows:

X \approx N(25150, 12050)

The probability that the college graduate has between $14,200 and $33,950 in student loan debt is the <u>p-value of Z when X = 33950 subtracted by the p-value of Z when X = 14200</u>, hence:

X = 33950:

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

Z = \frac{33950 - 25150}{12050}

Z = 0.73

Z = 0.73 has a p-value of 0.7673.

X = 14200:

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

Z = \frac{14200 - 25150}{12050}

Z = -0.91

Z = -0.91 has a p-value of 0.1814.

0.7673 - 0.1814 = 0.5859.

There is a 0.5859 = 58.59% probability that the college graduate has between $14,200 and $33,950 in student loan debt.

Considering the symmetry of the normal distribution, the middle 10% is between the 45th percentile(X when Z = -0.127) and the 55th percentile(X when Z = 0.127), hence:

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

-0.127 = \frac{X - 25150}{12050}

X - 25150 = -0.127(12050)

X = $23,519.65.

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

0.127 = \frac{X - 25150}{12050}

X - 25150 = 0.127(12050)

X = $26,580.35.

More can be learned about the normal distribution at brainly.com/question/4079902

#SPJ1

5 0
2 years ago
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