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Harlamova29_29 [7]
2 years ago
15

How much did jennie earn if she got $40 for babysitting plus a 15% tip

Mathematics
1 answer:
vazorg [7]2 years ago
7 0

Answer:

$46

Step-by-step explanation:

100% of 40 is 40. 10 percent of 40 is 4. 5% of 40 is 2. 40+4+2=46.

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Kyle is shopping for his favorite
nalin [4]

Answer:

The 9 ounce box is the better deal, and Kyle will save 2 cents.

Step-by-step explanation:

First, you should find how much 1 once would cost in the 9 ounce box.

Do 2.52 ÷ 9 = x

x = 0.28

This means that in the <u>9 ounce box, one ounce costs 28 cents</u>.

Now, find how much one once would cost in the 12 ounce box.

3.60 ÷ 12 = x

x = 0.30

This means that in the <u>12 ounce box, one ounce costs 30 cents</u>.

This means that the 9 ounce box is a better deal, because it costs less per ounce.

0.30 - 0.28 = 0.02. This means there is a 2 cent difference in their prices per ounce.

So, Kyle should choose the 9 ounce box, and he will save 2 cents per box.

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2 years ago
What is the equation of the line that contains the two points (0,-1) and (-1,-3)?
Nady [450]
The answer is in this picture

4 0
3 years ago
Read 2 more answers
Which expression shows how to convert 60 hours to days? G0 hours 24 days 60 hours 1 day 24 hours 60 hours 24 hours 1 day 0 60 ho
Hatshy [7]

Answer:

given :

24 hours = 1 day

now

60 hours = 60 / 24 = 2.5 days

4 0
3 years ago
Choose the correct simplification of (3x3 + 2x2 − 5x) − (8x3 − 2x2)
zmey [24]
(3x³ + 2x² - 5x) - (8x³ - 2x²<span>) =
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5 0
3 years ago
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The number of surface flaws in a plastic roll used for auto interiors follows a Poisson distribution with a mean of 0.05 flaw pe
ElenaW [278]

Answer:

0.6065

Step-by-step explanation:

Probability mass function of probability distribution : P(X=x)=\frac{e^{-\lambda} \times \lambda^x}{x !}

a mean of 0.05 flaw per square foot

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Mean = 0.05

Mean = \lambda = 0.05 \times 10=0.5

We are supposed to find What is the probability that there are no flaws in a given car’s interior i.e,P(X=0)

Substitute the value in the formula

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P(X=0)=\frac{e^{-0.5} \times (0.5)^0}{1}

P(X=0)=0.6065

Hence the probability that there are no flaws in a given car’s interior is 0.6065

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