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Alina [70]
3 years ago
5

You buy a pair of shoes for $40, at check out you are also charged 8% sales tax. What is the total cost of your shoes

Mathematics
2 answers:
uysha [10]3 years ago
7 0

Answer:  3.2 done

Step-by-step explanation:

satela [25.4K]3 years ago
4 0

Answer:

43.20

Step-by-step explanation:

I hope this is right !

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A trucker traveled an average of 48.6 miles each hour on a 583.2-mile trip. For how many hours did the trucker travel?
nexus9112 [7]
Divide 583.2 by 48.6 to get your answer, 12 hours.
5 0
3 years ago
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Guy wants to swim 500 meters. After 75 meters, he takes a break. What percent of his goal has he already met?
iren2701 [21]
To determine this, we need to set up proportions.
x/100 = 75/500.
A quick way to find x, the percentage we're looking for, is to cross multiply our fractions.
100 x 75 and 500 with x.
75 x100 = 7500, and 500 times x is 500x.
7500=500x
Divide by 500 on each side.
15 = x
Your answer is C.)15%.
I hope this helps!
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3 years ago
I research or chooses a random sample of registered voters in Kingsville he found that three out of every five voters surveyed s
ikadub [295]
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3 0
3 years ago
Whats the cube root of 216. Please Explain why also.​
aniked [119]
Answer:6
If you were to multiply 6*6*6 you would get 216
6 0
3 years ago
An airline's public relations department claims that when luggage is lost, 88% is recovered and delivered to its owner within 24
melisa1 [442]

Answer:

The hypothesis statements are: H0: p = 0.88 versus HA : p < 0.88

The p-value of the test is 0.2483 > 0.1, which means that the data does not provide sufficient evidence to conclude that the proportion of times that luggage is returned within 24 hours is less than 0.88.

Step-by-step explanation:

Test if the proportion of times that luggage is returned within 24 hours is less than 0. 88

At the null hypothesis, we test if the proportion is of 0.88, that is:

H_0: p = 0.88

At the alternate hypothesis, we test if this proportion is less than 0.88, that is:

H_a: p < 0.88

The hypothesis statements are: H0: p = 0.88 versus HA : p < 0.88

The test statistic is:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the value tested at the null hypothesis, \sigma is the standard deviation and n is the size of the sample.

0.88 is tested at the null hypothesis:

This means that \mu = 0.88, \sigma = \sqrt{0.88*0.12}

A consumer group who surveyed a large number of air travelers found that 138 out of 160 people who lost luggage on that airline were reunited with the missing items by the next day.

This means that n = 160, X = \frac{138}{160} = 0.8625

Test statistic:

z = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

z = \frac{0.8625 - 0.88}{\frac{\sqrt{0.88*0.12}}{\sqrt{160}}}

z = -0.68

P-value of the test:

The p-value of the test is the probability of finding a sample proportion below 0.8625, which is the p-value of z = -0.68.

Looking at the z-table, the p-value of z = -0.68 is of 0.2483.

The p-value of the test is 0.2483 > 0.1, which means that the data does not provide sufficient evidence to conclude that the proportion of times that luggage is returned within 24 hours is less than 0.88.

7 0
3 years ago
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