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DerKrebs [107]
4 years ago
9

I need help with this!

Mathematics
1 answer:
ruslelena [56]4 years ago
7 0
|12| ÷ 2 • |-5|
= 12 ÷ 2 • 5
= 6 • 5
= 30
Absolute values just make the number positive if it is negative. The number stays positive if it’s positive.
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Use distributive property<br> 10(11 + 4p)​
pshichka [43]

Answer:

110+40p

Step-by-step explanation:

10x11=110

10x4=40

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Find the volume of a tennis ball with diameter of 6.7 centimeters. Round your answer to the nearest hundredth.
nasty-shy [4]

Answer:

157.48

Step-by-step explanation:

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47. Which of the following represents 0.2% of 1/5?
erica [24]

First think of what 0.2% is as a fraction,

0.2\%=\frac{0.2}{100}=\frac{2\cdot10^{-1}}{10^2}=\frac{2}{10^3}=\frac{2}{1000}

Now multiply the fraction by a fifth,

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\frac{2}{5000}=\boxed{\frac{1}{2500}}

Hope this helps :)

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Sarah jumps rope to keep in shape. She jumps an average of 20 times in 15 seconds. Which of these describes her jumping rate?
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80 jumps per minute

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The following observations are given for two variables. x y 2 7 6 10 9 13 11 18 11 21 12 25 7 12 4 7 ​ a. Compute the sample cov
belka [17]

Answer:

The given data is:

x = (2, 7, 6, 10, 9, 13, 11, 18)

y = (11, 21, 12, 25, 7, 12, 4, 7)

a. The formula used for Sample Covariance is:

S_{XY}=\frac{\sum_{i=1}^{n}(X_{i}-\bar{X})(Y_{i}-\bar{Y})}{n-1}

where, \bar{X} is mean of X

and \bar{Y}  is mean of Y

Firstly calculating \bar{X} and \bar{Y}. We get,

\bar{X} = 9.5

\bar{Y} = 12.375

Now, Putting all values in above formula. We get,

Sample Covariance S_{XY} = -8.64

b. Standard Deviation is the square root of sum of square of the distance of observation from the mean.  

Standard deviation(\sigma) = \sqrt{\frac{1}{n}\sum_{i=1}^{n}{(x_{i}-\bar{x})^{2}} }

where, \bar{x} is mean of the distribution.

Using formula we get,

Standard deviation (\sigma_{X}) = 4.81

c. Using above formula we get,

Standard deviation (\sigma_{Y}) = 7.21

d. Correlation Coefficient is calculate by using formula:

r_{xy}=\frac{S_{XY}}{S_{X}S_{Y}}

where, S_{XY} = Covariance of X and Y

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S_{Y} = Standard Deviation of Y

Putting all values in above formula, we get,

Correlation Coefficient (r_{xy}) = -0.25

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5 0
3 years ago
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