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artcher [175]
3 years ago
12

A pair of shoes usually sells for $69. If the shoes are 40% off, and sales tax is 5%, what is the total price of the shoes, incl

uding tax?

Mathematics
2 answers:
Roman55 [17]3 years ago
7 0

Answer:

Step-by-step explanation:I don't say you have to mark my ans as brainliest but my friend if it has really helped you plz don't forget to thank me...

geniusboy [140]3 years ago
4 0

Answer:

$43.47

Step-by-step explanation:

<em>Discount </em>

First, find the discount.

Multiply the discount rate by the regular price of the shoes

discount rate*shoe price

40%*69

Convert 40% to a decimal by dividing by 100

40%/100=0.4

0.4*69

Multiply

27.6

$27.60 is the discount.

Now, subtract the discount from the regular price.

regular price-discount

69-27.6

41.4

<em>Tax </em>

Next, find the tax.

Multiply the tax rate by the discounted price of the shoes.

tax rate * discount price

5%*41.4

Convert 5% to a decimal by dividing by 100

5%/100=0.05

0.05*41.4

Multiply

2.07

Since this is tax, we add the tax onto the price of the shoes.

41.4+2.07

43.47

The total price is <u>$43.47</u>

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Answer:

a) L(x,y,z) = (-4,0,2)+(2,8,-7)*t

b) (2-z)/7= y/8=(x+4)/2 (option B)

Step-by-step explanation:

the parametric equation of the line passing through the point P₀= (-4,0,2) and parallel to the vector v=2i + 8j - 7k is

L(x,y,z)=P₀+v*t

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or

x=x₀+vx*t = -4 + 2*t

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(2-z)/7= y/8=(x+4)/2

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4 years ago
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A charity receives 2025 contributions. Contributions are assumed to be mutually independent and identically distributed with mea
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Answer:

The 90th percentile for the distribution of the total contributions is $6,342,525.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For sums of size n, the mean is \mu*n and the standard deviation is s = \sqrt{n}*\sigma

In this question:

n = 2025, \mu = 3125*2025 = 6328125, \sigma = \sqrt{2025}*250 = 11250

The 90th percentile for the distribution of the total contributions

This is X when Z has a pvalue of 0.9. So it is X when Z = 1.28. Then

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

By the Central Limit Theorem

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

1.28 = \frac{X - 6328125}{11250}

X - 6328125 = 1.28*11250

X = 6342525

The 90th percentile for the distribution of the total contributions is $6,342,525.

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