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Elodia [21]
4 years ago
12

A class of 32 students earned grades of A,B,C,D on a test. One - fourth of the students earned an A. Half of the remaining stude

nts earned a B. Two students earned a D. What fraction of the students earned a C?
Mathematics
2 answers:
BigorU [14]4 years ago
4 0

Answer

1/10

Step-by-step explanation:

Tasya [4]4 years ago
4 0

Answer:

Step-by-step explanation:

TO SOLVE:

One fourth of the class is 8 students.

Half of the class is 16 students.

THEN:

16 + 8 + 2 = 26

Therefore 6 students got a C.

That as a fraction is 6 / 32 = 3 / 16

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Identify where the given information is suficient for graphing a linear equation. Check all that apply.
oee [108]

Answer:

  • All points are applicable apart from the second

Step-by-step explanation:

<u>One point and the slope of the line </u>

  • Yes.

<u>One point </u>

  • No

<u>One of the intercepts and the slope of the line </u>

  • Yes, it is equivalent to first option

<u>Both the intercepts </u>

  • Yes, it is equivalent to two points

<u>Two points</u>

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5 0
3 years ago
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There are 38 students in Mr. Reynolds math class and 20 are boys.If a student is selected at random what is the probability that
damaskus [11]

Answer:

9/19

Step-by-step explanation:

if 20 students are boys, then the remaining students are girls. 38-20 = 18

There are 18 girl students.

18/38 can be simplified to 9/19

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3 years ago
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If the correlation between height and weight of a large group of people is 0.74, find the coefficient of determination (as a per
Vika [28.1K]

Answer:

B. The coefficient of determination is 54.76%. Therefore, 54.76% of the variation in weight can be explained by the regression line.

Step-by-step explanation:

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.

The coefficient of determination is a measure to quantify how a model explains an dependent variable.

The formula for the correlation coeffcient is given by:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}

The formula for the coefficient of determination is r^2

In our case the correlation coefficient obtained was 0.74

And the determination coefficient is R=0.74^2 =0.5476, and if we convert this into % we got 54.76%

Assume that height is the predictor (X) and weight is the response (Y)

And the best answer for this case is:

B. The coefficient of determination is 54.76%. Therefore, 54.76% of the variation in weight can be explained by the regression line.

4 0
3 years ago
What are the square number factors of 56?​
Levart [38]

Answer:

The factors of 56 are 1, 2, 4, 7, 8, 14, 28 and 56.

4 0
2 years ago
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How to do this answer
ELEN [110]
15,16,17,18,18,19,20
6 0
3 years ago
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