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alexira [117]
4 years ago
7

jimmy is a real estate agent, and he earns a 2.5% commission for the sale of a home. He just sold a home for $270,000. How much

is his commission?
Mathematics
2 answers:
Usimov [2.4K]4 years ago
6 0

Answer:

$6750 is his comission

Step-by-step explanation:

In order to calculate his comission you just have to do a rule of three, so if $270,000 is the 100% then how much will it be the 2.5%?

So it would be like this:

\frac{270,00}{100}= \frac{x}{2.5} \\x=\frac{270,000*2.5}{100}\\ x=\frac{6´750,000}{100}\\ x=6,750

So his comission will be $6,750

lutik1710 [3]4 years ago
3 0
Hello there! So, he sells a home worth $270,000 and gets 2.5% of that price as commission. In order to find the amount of commission he gets from selling that home, all you have to do is multiply the price by the percent, because commission is a small portion of the sold price. 270,000 * 2.5% (0.025) is 6,750. There. Jimmy's commission is $6,750.
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The coding of the statistic is used to make it easier to work with the large sunshine data set

  • The mean of the sunshine is 3.05\overline 6
  • The standard deviation is approximately  <u>18.184</u>

<u />

Reason:

The given parameters are;

The sample size, n = 3.

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Sample corrected sum of squares, Sₓₓ = 33,065.37

The mean and standard deviation = Required

Solution:

Mean, \ \overline x = \dfrac{\sum x_i}{n}

The mean of the daily total sunshine is therefore;

Mean, \ \overline x = \dfrac{947}{30} \approx 31.5 \overline 6

s = \dfrac{x}{10 } - \dfrac{1}{10}

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E(s) = \dfrac{31.5 \overline 6}{10 } - \dfrac{1}{10} = 3.05 \overline 6

  • The mean ≈ 3.05\overline 6

Alternatively

,The \ mean \  of \  the \  daily  \ total  \ sunshine,  \, s = \dfrac{31.5 \overline 6 - 1}{10 } = 3.05\overline 6

The mean of the daily total sunshine, \overline s ≈3.05\overline 6

  • Var(s) = Var \left(\dfrac{x}{10 } - \dfrac{1}{10} \right)

Var(s) = \left(\dfrac{1}{10}\right)^2 \times Var \left(x \right)

Therefore;

Var(s) = \left(\dfrac{1}{10}\right)^2 \times 33,065.37 = 330,6537

Therefore;

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The standard deviation, s_s ≈ <u>18.184</u>

Learn more about coding of statistic data here:

brainly.com/question/14837870

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