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Olegator [25]
2 years ago
10

Algebra 2 Math question Grade 11

Mathematics
2 answers:
dlinn [17]2 years ago
5 0

Answer: y=-3x+5

Step-by-step explanation:

6x+2y=10

Solve for y

2y=-6x+10

y=-3x+5

Contact [7]2 years ago
4 0

Answer: y = -3x + 5

Step-by-step explanation:

Slope intercept form is y = mx + b so all you need to do is put the equation into that format.

6x + 2y = 10

2y = 10 - 6x

y = -3x + 5

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I don’t understand this. The number line question the first one.
Mama L [17]

Answer:

-2 + 5 = 3

Step-by-step explanation:

The arrow represents an addition, you start with -2 and add 5, so you end up at +3.

8 0
3 years ago
What is the value of x? Enter your answer in the box.
Radda [10]

Answer:

x = 8

y = 6

Step-by-step explanation:

First and foremost, it's an equilateral triangle, therefore all sides and angles are equal.

Knowing that the sum of angle in a triangle is 180°, therefore each angle is 60°.

Then equating (7x+4)° to 60, we have that,

7x+4=60

7x=60-4

7x=56

x=56÷7

x=8.

5 0
1 year ago
Simple:
frozen [14]
9
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46 ! :)
3 0
3 years ago
THANKS FOR ANSWERING ✔✔
Yuki888 [10]

4.68, 3/12, -4, -4 12/25

7 0
3 years ago
Read 2 more answers
In a nutshell and thorough explanation, what is MAD? (Mean absolute deviation) --Please do not give me a Khan Academy link. (The
Genrish500 [490]

Answer:

The average absolute deviation (or mean absolute deviation (MAD)) about any certain point (or 'avg. absolute deviation' only) of a data set is the average of the absolute deviations or the positive difference of the given data and that certain value (generally central values). It is a summary statistic of statistical dispersion or variability. In the general form, the central point can be the mean, median, mode, or the result of any other measure of central tendency or any random data point related to the given data set. The absolute values of the difference, between the data points and their central tendency, are totaled and divided by the number of data points.

Measures of dispersion

Edit

Several measures of statistical dispersion are defined in terms of the absolute deviation. The term "average absolute deviation" does not uniquely identify a measure of statistical dispersion, as there are several measures that can be used to measure absolute deviations, and there are several measures of central tendency that can be used as well. Thus, to uniquely identify the absolute deviation it is necessary to specify both the measure of deviation and the measure of central tendency. Unfortunately, the statistical literature has not yet adopted a standard notation, as both the mean absolute deviation around the mean and the median absolute deviation around the median have been denoted by their initials "MAD" in the literature, which may lead to confusion, since in general, they may have values considerably different from each other.

Mean absolute deviation around a central point

Edit

For arbitrary differences (not around a central point), see Mean absolute difference.

The mean absolute deviation of a set {x1, x2, ..., xn} is

{\displaystyle {\frac {1}{n}}\sum _{i=1}^{n}|x_{i}-m(X)|.} \frac{1}{n}\sum_{i=1}^n |x_i-m(X)|.

The choice of measure of central tendency, {\displaystyle m(X)} m(X), has a marked effect on the value of the mean deviation. For example, for the data set {2, 2, 3, 4, 14}:

5 0
3 years ago
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