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Alja [10]
4 years ago
5

Determine whether each pair of triangles is similar. Justify your answer.

Mathematics
2 answers:
tresset_1 [31]4 years ago
7 0
M<J = m<N      ( alternate angles)
m<K = m<M    ( alternate angles)

so the third angles must also be equal  ( total 180 degrees in each triangle)

Therefor the triangles are similar
myrzilka [38]4 years ago
3 0

Answer with Step-by-step explanation:

We are given that

MN is parallel to JK

In triangle MLN and triangle JLK

Angle JKL=Angle NML

Reason:Alternate interior angles

Angle MNL=Angle KJL

Reason:Alternate interior angles

Triangle MLN is similar to  triangle JLK

Reason: By AA postulate

Yes, two triangles JLK and triangle KLN are similar.

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Answer:

0, 2, 4, 6, 8

Step-by-step explanation:

the first couple of multiples of 2 are...

2, 4, 6, 8, 10

the last digits are 0, 2, 4, 6, 8...

so, 0, 2, 4, 6, 8 are the last digits!

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The slope of (- 7,9) and (6,- 5)
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6. 6.3-07<br>What is the answer?​
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Read 2 more answers
As the SAT is used for college admissions, the GRE is used for graduate school admissions. A sample of verbal and quantitative s
Dmitry_Shevchenko [17]

Answer:

Kevin's verbal score (610), although, lower than the Quantitative score (700), is comparatively/relatively a better score when compared to the gemeral performance of all people that sat for the same exams.

Step-by-step explanation:

Missing from the question

The mean score for Verbal Reasoning section was 462 with a standard deviation of 119, and the mean score for the Quantitative Reasoning was 584 with a standard deviation of 151.

To truly compare these two scores, we first need to standardize them.

The standardized score for any value is the value minus the mean then divided by the standard deviation.

For the verbal section

Mean = 462

standard deviation = 119

z = (x - μ)/σ = (610 - 462)/119 = 1.24

For the Quantitative section

Mean = 584

standard deviation = 151

z = (x - μ)/σ = (700 - 584)/151 = 0.77

Using the normal distribution tables

P(z < 1.24) = 0.893 = 89.3 percentile

P(z < 0.77) = 0.779 = 77.9 percentile

From the results obtained, Kevin's verbal scores of 610, although lower than the Quantitative score of 700, is 1.24 standard deviations greater than the mean, thereby putting this score in the 89.3 percentile amongst all those that sat for the same verbal section.

The quantitative score of 700 is 0.77 standard deviations greater than the mean, belonging to a percentile of 77.9 of all those that wrote that quantitative section.

Hope this Helps!!!

5 0
4 years ago
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