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Strike441 [17]
3 years ago
11

PLEASE HELP ME I DONT UNDERSTAND THIS AT ALL

Mathematics
1 answer:
Delicious77 [7]3 years ago
4 0
What do you not understand
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$3,840,214.72 divided by 732 =
DIA [1.3K]

Answer:

$5246.231858

Step-by-step explanation:

Just use a calculator

7 0
4 years ago
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What is the slope of the line represented by the equation y = y equals 4 Over 5
OLEGan [10]

\bf y= \stackrel{\stackrel{m}{\downarrow }}{\cfrac{4}{5}}x-3\qquad \impliedby \begin{array}{|c|ll} \cline{1-1} slope-intercept~form\\ \cline{1-1} \\ y=\underset{y-intercept}{\stackrel{slope\qquad }{\stackrel{\downarrow }{m}x+\underset{\uparrow }{b}}} \\\\ \cline{1-1} \end{array}

4 0
3 years ago
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What is the minimum number of degrees in order for the pentagon to map onto itself
amid [387]

Answer:

We can divide the pentagon (5 sides) into five inscribed triangles with central vertex angles of 72 degrees. 360 degrees ÷ 5 = 72 degrees....complete rotation is 360 degrees So each rotation of the pentagon of 72 degrees will be identical

Step-by-step explanation:

hope it helps :))

3 0
3 years ago
Consider a data set containing the following values: 70 65 71 78 89 68 50 75 The mean of the preceding values is 70.75. The devi
Leokris [45]

Answer:

If this is the sample data, the sample variance is 125.07 and the sample standard deviation is 11.18

If this is a population data, the population variance is 109.44 and the population standard deviation is 10.46

Step-by-step explanation:

We are given the following data-set:

70, 65, 71, 78, 89, 68, 50, 75

Deviations from the mean

–0.75, –5.75 , 0.25, 7.25, 18.25, –2.75, –20.75, 4.2

Sample size, n = 8

Sample:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n-1}}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

s = \sqrt{\dfrac{875.5}{7}} = 11.18

\text{ Sample variance} = s^2 = 125.07

Population:

\text{Standard Deviation} = \sqrt{\displaystyle\frac{\sum (x_i -\bar{x})^2}{n}  

where x_i are data points, \bar{x} is the mean and n is the number of observations.

Sum of squares of differences =

0.5625 + 33.0625 + 0.0625 + 52.5625 + 333.0625 + 7.5625 + 430.5625 + 18.0625 = 875.5

\sigma = \sqrt{\dfrac{875.5}{8}} = 10.46

\text{ Population variance} = \sigma^2 = 109.44

7 0
3 years ago
F(x)= 9-x^2, x ≥ 0. f^-1(x)=??
julia-pushkina [17]
y=9-x^{2},\ x\ge0

Reverse x and y:
x=9-y^{2},\ y\ge0
Solve for y:
x=9-y^{2}
\rightarrow y^{2}=9-x
\rightarrow y=\sqrt{9-x} since y\ge0
7 0
3 years ago
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