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Vladimir79 [104]
3 years ago
14

You mow your neighbor’a lawn in 5 hours and earn $45. what is your hourly wage

Mathematics
2 answers:
Talja [164]3 years ago
6 0

$9.00 per hour. take 45 and divide by 5 you get 9.

MAVERICK [17]3 years ago
3 0

The hourly wage is 9 dollars per hour

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The United States Bureau of Labor Statistics (BLS) conducts the Quarterly Census of Employment and Wages (QCEW) and reports a va
Lemur [1.5K]

Answer:

The mean total taxable earnings of all wage earners in a county is same as the population mean, $28.29.

The probability that the mean taxable wages in James' sample of 56 counties will be less than $33 million is 0.8508.

The probability that the mean taxable wages in James' sample of 56 counties will be greater than $30 million is 0.3520.

Step-by-step explanation:

Let <em>X</em> = total taxable earnings of workers.

The expected value of the random variable <em>X</em> is:

E (X) = <em>μ</em> = $28.29

The standard deviation of the random variable <em>X</em> is:

SD (X) = <em>σ</em> = $33.493.

The data was collected from 56 American counties.

The sample mean of a random variable is the an unbiased estimator of the population mean.

If repeated samples are collected from a population and the mean for each sample is computed then the expected value of the sample means is same as the population mean.

So the mean total taxable earnings of all wage earners in a county is same as the population mean, $28.29.

According to the Central limit theorem if we have a population with mean μ and standard deviation σ and take appropriately huge random-samples (n ≥ 30) from the population with replacement, then the distribution of the sample-means will be approximately normally distributed.

Then, the mean of the sample means is given by,  \mu_{\bar x}=\mu.

And the standard deviation of sample means is, \sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}

Compute the value of P (\bar X < 33) as follows:

P(\bar X

Thus, the probability that the mean taxable wages in James' sample of 56 counties will be less than $33 million is 0.8508.

Compute the value of P (\bar X > 30) as follows:

P(\bar X>30)=P(\frac{\bar X-\mu_{\bar x}}{\sigma_{\bar x}}>\frac{30-28.29}{33.943/\sqrt{56}})\\=P(Z>0.38)\\=1-P(Z

Thus, the probability that the mean taxable wages in James' sample of 56 counties will be greater than $30 million is 0.3520.

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3 years ago
I need help please and thank you
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(x,y)=(-1,8/3).
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6 0
3 years ago
What is it. Please do you carry the negative or the square first.
klemol [59]

Answer:

(3)

Step-by-step explanation:

5x^2 - (2x-3)^2

5x^2- (2x-3)(2x-3)

now you distribute, the 5x^2 stay the same for now

So for now just (2x-3)(2x-3)

first 2x * 2x= 4x^2

2x * -3= -6x

-3 * 2x= -6x

-3 * -3= 9

So (2x-3)(2x-3) is 4x^2 -6x-6x+9

You can simplify that to 4x^2 -12x +9

Now we add in the 5x^2 from the start don't forget!

And we are subtracting sooo

5x^2 -(4x^2 -12x +9)

5x^2 -4x^2 +12x -9

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We form three groups 1, 2 and 3 using 8 red balls and 18 blue balls such that (a) all balls must be used; (b) each group must ha
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Answer:

{b}

Step-by-step explanation:

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