Prove the two triangles congruent. sas sss asa aas hl not congruent

Mathematics

1 answer:

ivanzaharov [21]2 years ago

6 0

Answer:

SAS because there congruent and each side has the same degree

Step-by-step explanation:

You might be interested in

What is x: 1.5x - 6=7.5

enot [183]

$\large\text{Hey there!}$

$\mathsf{1.5x - 6=7.5}\\\mathsf{\bf{\underline{ADD}}}\mathsf{\ by\ 6\ on\ both\ of\ your\ sides}\\\mathsf{1.5x-6+6=7.5+6}\\\mathsf{Cancel\ out: -6+6\ because\ it\ equals\ 0}\\\mathsf{Keep:7.5+6\ because\ it\ helps\ us\ solve\ for\ your\ answer}\\\mathsf{7.5 + 6=13.5}\\\mathsf{We\ get: 1.5x=13.5}\\\mathsf{\bf{\underline{Divide}}}\mathsf{\ both\ sides\ by\ 1.5\ on\ your\ sides}\\\mathsf{\dfrac{1.5x}{1.5}=\dfrac{13.5}{1.5}}\\\\\mathsf{Cancel\ out: \dfrac{1.5x}{1.5}\ because\ it\ equals\ 1}$

$\mathsf{Keep: \dfrac{13.5}{1.5}\ because\ it\ gives\ you\ x}\\\\\mathsf{\dfrac{13.5}{1.5}=13.5\div1.5\rightarrow9}\\\\\\\boxed{\boxed{\mathsf{\bf{Your\ ANSWER: \boxed{\mathsf{x=9}}}}}}\checkmark$

$\large\text{Good luck on your assignment and enjoy your day!}\\\\\\\dfrac{\frak{LoveYourselfFirst}}{:)}$

7 0

3 years ago

Please solve for the triangle! Thank you

Katena32 [7]

78-32=56
56=2x
x=28

X is equivalent to 28

3 0

3 years ago

What numbers add to 2 and multiply to -56

marta [7]

The numbers are irrational, so they can't be exactly written down
using only digits.

In exact form, they are

   1 + √57
and
   1 - √57 .

In rounded form, they are

   8.54983
and
    -6.54983 .

5 0

3 years ago

Read 2 more answers

4- A manufacturing process produces items whose weights are normally distributed. It is known that 22.57% of all the items produ

galben [10]

Answer:

$\\ \mu = 118\;grams\;and\;\sigma=30\;grams$

Step-by-step explanation:

We need to use z-scores and a standard normal table to find the values that corresponds to the probabilities given, and then to solve a system of equations to find $\\ \mu\;and\;\sigma$ .

<h3>First Case: items from 100 grams to the mean</h3>

For finding probabilities that corresponds to z-scores, we are going to use here a <u>Standard Normal Table </u><u><em>for cumulative probabilities from the mean </em></u><em>(Standard normal table. Cumulative from the mean (0 to Z), 2020, in Wikipedia) </em>that is, the "probability that a statistic is between 0 (the mean) and Z".

A value of a z-score for the probability P(100<x<mean) = 22.57% = 0.2257 corresponds to a value of z-score = 0.6, that is, the value is 0.6 standard deviations from the mean. Since this value is <em>below the mean</em> ("the items produced weigh between 100 grams up to the mean"), then the z-score is negative.

Then

$\\ z = -0.6\;and\;z = \frac{x-\mu}{\sigma}$

$\\ -0.6 = \frac{100-\mu}{\sigma}$ (1)

<h3>Second Case: items from the mean up to 190 grams</h3>

We can apply the same procedure as before. A value of a z-score for the probability P(mean<x<190) = 49.18% = 0.4918 corresponds to a value of z-score = 2.4, which is positive since it is after the mean.

Then

$\\ z =2.4\;and\; z = \frac{x-\mu}{\sigma}$