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Softa [21]
3 years ago
10

Chelsea buys a shirt and shoes at the store with the coupon. The price of the shirt before the discount is $22, and her total di

scount is $18.55. Write an equation to find a price of the shoes before the discount.
(THE COUPON IS IN THE PIC)

​

Mathematics
1 answer:
Helen [10]3 years ago
4 0

Answer: add 22 with $18.55  divide 50%

Step-by-step explanation:

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Step-by-step explanation:

It is a function because there is one value of y for every x value.

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A certain state uses the following progressive
Lady bird [3.3K]

The state income tax owed on an $80,000 per year salary is; $4323

<h3>How to find the Total Tax?</h3>

We are given the progressive tax range for each income tax range as;

Income Tax Range of 0 to 3000 has a progressive tax rate of 2%.

Income Tax Range of 3001 - 5000 has a progressive tax rate of 3%

Income Tax Range of 5001  - 17,000 has a progressive tax rate of 5%

Income Tax Range of 17,001 and up has a progressive tax rate of 5.75%

The total tax due will be the sum of the amounts due in each bracket.

(2% × $3000) + (3%× (5000 -3000)) + (5% × (17000 - 5000)) + (5.75% × (80000 - 17000))

Total Tax Due  = 60 + 60 + 600 + 3622.5

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4 0
2 years ago
A researcher reports survey results by stating that the standard error of the mean is 25 the population standard deviation is 40
bezimeni [28]

Answer:

a) A sample of 256 was used in this survey.

b) 45.14% probability that the point estimate was within ±15 of the population mean

Step-by-step explanation:

This question is solved using the normal probability distribution and the central limit theorem.

Normal probability distribution

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.

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.

a. How large was the sample used in this survey?

We have that s = 25, \sigma = 400. We want to find n, so:

s = \frac{\sigma}{\sqrt{n}}

25 = \frac{400}{\sqrt{n}}

25\sqrt{n} = 400

\sqrt{n} = \frac{400}{25}

\sqrt{n} = 16

(\sqrt{n})^2 = 16^2[tex][tex]n = 256

A sample of 256 was used in this survey.

b. What is the probability that the point estimate was within ±15 of the population mean?

15 is the bounds with want, 25 is the standard error. So

Z = 15/25 = 0.6 has a pvalue of 0.7257

Z = -15/25 = -0.6 has a pvalue of 0.2743

0.7257 - 0.2743 = 0.4514

45.14% probability that the point estimate was within ±15 of the population mean

3 0
3 years ago
HELP PLEASE!
Vadim26 [7]
If x = 8, then multiply x by 28. Then, you'll get 224. If y = 14, then multiply y by 28. Then, you'll get 392. Now add 392 and 224 to get 616. Your answer is $616.
4 0
3 years ago
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