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MArishka [77]
3 years ago
9

Reese paid $116.35 sales tax when he bought his new mountain bike. The sales tax was 13%. What did his new bike sell for, before

tax?
Mathematics
1 answer:
Pie3 years ago
6 0

Answer:

$102.96 is the cost before sales tax.

Step-by-step explanation:

1) Your cost with sales tax is $116.35, to find the cost before sales tax you'll need to divide this cost by 1.13.

2) Your answer is approximately $102.964602, but rounded up is $102.96 in total, enjoy your answer.

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There are 36 inches in a yard. 36*6.75 =243. 6.75 yards is the same as 243 inches.
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The function ​f(x)​ is the total amount spent at a store, when purchasing x items that are $5 each and the items are not taxable
vagabundo [1.1K]

Answer:

B

Step-by-step explanation:

The domain is all possible values of x.  Here, x is the number of $5 nontaxable items.  So x must be an integer, and it can't be negative.  It is possible for x to be 0.  So x is all whole numbers.

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Juan bought a piece of lumberthat is 20 feet long.
Semmy [17]

Answer:mutiply not sure

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3 years ago
Find a unit vector that is orthogonal to both u and v<br><br> .u = −8, −6, 4<br> v = 17, −18, −1
lisov135 [29]

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\left(\frac{\sqrt{78}}{30},\ \frac{\sqrt{78}}{39}\ ,\frac{41\sqrt{78}}{390}\right)

3 0
1 year ago
Mariah Jacobsen is the marketing manager at ABC Electronics, a major consumer electronics supplier in the northwest. Over the la
o-na [289]

Answer:

0.6568 = 65.68% probability that she would be correct.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

45000, 45500, 44500, 46000 and 44000 units. This rate of sales is considered average for the product over the last twenty years or so.

This means that:

\mu = \frac{45000 + 45500 + 44500 + 46000 + 44000}{5} = 45000

Standard deviation of 1500 units.

This means that \sigma = 1500

What is the likelihood that she would be correct if she predicts sales between 43000 and 46000?

This is the pvalue of Z when X = 46000 subtracted by the pvalue of Z when X = 43000. So

X = 46000

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

Z = \frac{46000 - 45000}{1500}

Z = 0.67

Z = 0.67 has a pvalue of 0.7486

X = 43000

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

Z = \frac{43000 - 45000}{1500}

Z = -1.33

Z = -1.33 has a pvalue of 0.0918

0.7486 - 0.0918 = 0.6568

0.6568 = 65.68% probability that she would be correct.

5 0
3 years ago
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