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Natali5045456 [20]
3 years ago
13

What is the measure of 8

Mathematics
1 answer:
Sonja [21]3 years ago
8 0
Since angle 2 is 120 degrees, the corresponding angle is 6, so 6 will also be 120 degrees

6 and 8 should form 180 degrees
180 - 120 = 60

so angle 8 is 60 degrees
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Prudence has 12 pairs of gold earrings and 12 pairs of silver earrings in a drawer in her jewelry box. If she randomly pulls six
algol13

Answer:

(D) 3

Step-by-step explanation:

Prudence has 12 pairs of gold earrings and 12 pairs of silver earrings.

Total Number of Earrings =12+12=24

Relative Frequency of Picking a Gold Earrings =12/24= 0.5

If she randomly pulls six pairs of earrings out of the drawer to take with her on a trip

Number of Possible Outcome =Relative Frequency X Number of Trials

=0.5 X 6

=3

She would most likely take 3 gold earrings.

7 0
3 years ago
A circle with a radius of 9 millimeters.
andriy [413]

Answer:

You didnt give us a question to answer, just a statement.

Step-by-step explanation:

7 0
2 years ago
What is the equation of the best-fitting regression line? Find this in two ways. First, using the regression analysis part of th
Lemur [1.5K]

Step-by-step explanation:

Regression analysis is used to infer about the relationship between two or more variables.

The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.

<u>Method 1:</u>

Using regression analysis the line of best fit is: y=\alpha +\beta x+e

Here <em>α </em>= intercept, <em>β</em> = slope and <em>e</em> = error.

The formula to compute the intercept is:

\alpha =\bar y-\beta \bar x

Here<em> </em>\bar y and \bar x are mean of the <em>y</em> and <em>x</em> values respectively.

\bar y=\frac{\sum y_{i}}{n} \\\bar x=\frac{\sum x_{i}}{n}

The formula to compute the slope is:

\beta =\frac{\sum (x-\bar x)(y - \bar y)}{\sum (x=\bar x)^{2}}

And the formula to compute the error is:

e=y-\alpha -\beta x

<u>Method 2:</u>

The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.

The equation of the line of best fit is:

(y-\bar y)=r\frac{\sigma_{x}}{\sigma_{y}} (x-\bar x)

Here <em>r</em> = correlation coefficient = r=\frac{Cov (x,y)}{\sqrt{\sigma^{2}_{x}\sigma^{2}_{y}} }

\sigma_{x} and \sigma_{y} are standard deviation of <em>x</em> and <em>y</em> respectively.

\sigma_{x}=\frac{1}{n}\sum (x-\bar x)^{2} \\\sigma_{y}=\frac{1}{n}\sum (y-\bar y)^{2}

3 0
3 years ago
How many nanoseconds does it take for a computer to perform one calculation if it performs calculations per second?
igor_vitrenko [27]

I believe the correct question is:

6.7*10^7 calc/sec?

 

So:

1/(6.7 x 10^7) = seconds per calculation

1/(6.7 x 10^7) = 100/(6.7 x 10^9) = 14.9 x 10^-9 seconds per calculation = 14.9 ns

Which is approximately 15 ns

 

Answer:

15 ns

7 0
3 years ago
I NEED HELP IMMEDIATELY PLEASE AND THANK YOU!<br> Solve 7−√159−2=−5
Yuri [45]

Answer:

7-12.6-2=-5

-7.6=-5

7.6-5

2.6

4 0
2 years ago
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