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2 years ago

Ryan is opening up a bookstore, where he sells both new and old books. He

Mathematics

1 answer:

Vinil7 [7]2 years ago

4 0

Answer:

$337.50

Step-by-step explanation:

$12.50(16) = $200

$5.50(25) = $137.50

Add the totals up:

$200 + 137.50 = $337.50

Ryan's revenue for last month was $337.50 :)

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Complete the following statements.

SashulF [63]

The 99.87th percentile, or the area to the left of the 3 standard deviation mark it 99.87% better than everyone/everything else.

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2 years ago

What is 2/3 ÷ 4/5 = ?

11Alexandr11 [23.1K]

Answer:

5/6

Step-by-step explanation:

2/3 ÷ 4/5 = ⇒ changing division to multiplication by reciprocal of the second fraction
2/3 × 5/4 = ⇒ simplify and multiply numerators and denominators
5/6 ⇒ here is the answer

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3 years ago

May someone help me out with this question

dedylja [7]

The answer would be 7.5

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2 years ago

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What improper fraction goes with 1 and three fourths

Katyanochek1 [597]

7/4 because you times 4 and 1.then add 3 and you get 7 so 7/4

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3 years ago

In Applied Life Data Analysis (Wiley, 1982), Wayne Nelson presents the breakdown time of an insulating fluid between electrodes

ale4655 [162]

Answer:

The sample mean is $\bar{x}=14.371$ min.

The sample standard deviation is $\sigma = 18.889$ min.

Step-by-step explanation:

We have the following data set:

$\begin{array}{cccccccc}0.15&0.82&0.81&1.44&2.70&3.28&4.00&4.70\\4.96&6.49&7.25&8.03&8.40&12.15&31.89&32.47\\33.79&36.80&72.92&&&&&\end{array}$

The mean of a data set is commonly known as the average. You find the mean by taking the sum of all the data values and dividing that sum by the total number of data values.

The formula for the mean of a sample is

$\bar{x} = \frac{{\sum}x}{n}$

where, $n$ is the number of values in the data set.

$\bar{x}=\frac{0.15+0.82+0.81+1.44+2.7+3.28+4+4.7+4.96+6.49+7.25+8.03+8.4+12.15+31.89+32.47+33.79+36.80+72.92}{19}\\\\\bar{x}=14.371$

The standard deviation measures how close the set of data is to the mean value of the data set. If data set have high standard deviation than the values are spread out very much. If data set have small standard deviation the data points are very close to the mean.

To find standard deviation we use the following formula

$\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} }$

The mean of a sample is $\bar{x}=14.371$ .

Create the below table.

Find the sum of numbers in the last column to get.

$\sum{\left(x_i - \overline{X}\right)^2} = 6422.0982$

$\sigma = \sqrt{ \frac{ \sum{\left(x_i - \overline{x}\right)^2 }}{n-1} } = \sqrt{ \frac{ 6422.0982 }{ 19 - 1} } \approx 18.889$

7 0

2 years ago