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77julia77 [94]
3 years ago
12

What are the new vertices of triangle LMN, shown, if the triangle is reflected across the horizontal line y = 1, also shown?

Mathematics
2 answers:
vaieri [72.5K]3 years ago
8 0

Answer:  The correct option is (D) L′ = (–4,0), M′ = (3,–2), N′ = (4,0).

Step-by-step explanation:  Given that the triangle LMN shown in the figure is reflected across the line y = 1.

We are to find the new vertices of the triangle LMN.

From the figure, we note that

the co-ordinates of the vertices of triangle LMN are L(-4, 2), M(3, 4) and N(4, 2).

We know that

if a point (x, y) is reflected across the line y = k, then its new co-ordinates are (x, 2k - y).

Therefore, after getting reflected across the line y = 1, teh new co-ordiantes of the vertices of triangle LMN will be

L(-4, 2)  ⇒  L'(-4, 2 × 1 - 2) = L'(-4, 2-2) = L'(-4, 0),

M(3, 4)  ⇒  M'(3, 2 × 1 - 4) = M'(3, 2-4) = M'(3, -2),

N(4, 2)  ⇒  L'(4, 2 × 1 - 2) = N'(4, 2-2) = N'(4, 0).

Thus, the co-ordinates of the new vertices of triangle LMN are L'(-4, 0), M'(3, -2) ans N'(4, 0).

Option (D) is CORRECT.

Marina CMI [18]3 years ago
7 0
D.
just count the distance between the point and the reflection line and then find the opposite of that number
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2) Mean absolute deviation: 10.13

3) See explanation

Step-by-step explanation:

1)

The mean of a set of data it is calculated as

\bar x = \frac{1}{N}\sum x_i

where

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For the set of data in this problem, we have:

x_i =[28, 45, 12, 34, 36, 45, 19, 20]

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N = 8

Therefore, we can calculate the mean:

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The mean absolute deviation of a set of data is given by

\delta = \frac{1}{N}\sum |x_i-\bar x|

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The mean, calculated in part 1), is

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3)

The mean of a dataset is the sum of the single values of the dataset divided by the number of values. The mean represents the value \bar x for which, if the dataset would have N values all equal to \bar x, the sum of the values of the dataset would be the same as the sum of the actual values.

The mean absolute deviation for a set of data represents the average of the absolute deviations of the single points from the mean of the dataset. This quantity gives a measure of the "dispersion" of the points around the mean: in fact, the larger the mean absolute deviation is, the more the points are "spread" around the mean of the dataset. Instead, if the mean absolute deviation is small, it means that the points are closer to the mean value.

Learn more about mean and spread of a distribution:

brainly.com/question/6073431

brainly.com/question/8799684

brainly.com/question/4625002

#LearnwithBrainly

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