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irina1246 [14]
3 years ago
10

Please help on this question, I will really appreciate it. I will definitely give brainliest to the answer whom gives the full P

ROOF, answer, and the statement and reason.

Mathematics
2 answers:
lorasvet [3.4K]3 years ago
8 0

Answer:

UR II ST - Given

m<USR = m<SUT - Alternate interior angles

m<R = m<T = 90º - Given

US = US - Reflexive property

Triangle RSU = Triangle TUS - AAS {2,3,4}

Step-by-step explanation:

Just took it. Good luck!

alukav5142 [94]3 years ago
7 0

Answer and step-by-step explanation:

Here is the proof!

  1. UR II ST - Given
  2. m<USR = m<SUT - Alternate interior angles
  3. m<R = m<T = 90º - Given
  4. US = US - Reflexive property
  5. Triangle RSU = Triangle TUS - AAS {2,3,4}

Hope this helps!!

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Help pls............!!!!!
mezya [45]

Answer:

The 3rd set

Step-by-step explanation:

The first set has a range of 6, not 5

The second set has a range of 5, but not a mean of 5

The third set has both a mean and a range of 5

8 0
2 years ago
Simplify 3 (5x -4) = 8x -2
sweet [91]
The answer is 10/7
hope this helped.
7 0
3 years ago
Read 2 more answers
WILL MARK THE BRAINLIEST
Elis [28]

Answer:

Option D, 16/21

Step-by-step explanation:

<u>Step 1:  Add all of them together</u>

5 + 7 + 9

21

<u>Step 2:  Figure out how much of the plants are medicinal</u>

7 + 9

16

<u>Step 3:  Figure out the probability </u>

16/21

Answer:  Option D, 16/21

7 0
3 years ago
Which properties must you use to add or subtract complex numbers?
Leno4ka [110]
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8 0
3 years ago
Find the standard deviation of the following data. Round your answer to one decimal place. x 0 1 2 3 4 5 P(X
lbvjy [14]

Answer:

<em></em>\sigma = 1.8<em></em>

<em></em>

Step-by-step explanation:

Given

\begin{array}{ccccccc}x & {0} & {1} & {2} & {3} & {4}& {5} \ \\ P(x) & {0.2} & {0.1} & {0.1} & {0.2} & {0.2}& {0.2} \ \end{array}

Required

The standard deviation

First, calculate the expected value E(x)

E(x) = \sum x * P(x)

So, we have:

E(x) = 0 * 0.2 + 1 * 0.1 + 2 * 0.1 + 3 * 0.2 + 4 * 0.2 + 5  * 0.2

E(x) = 2.7

Next, calculate E(x^2)

E(x^2) = \sum x^2 * P(x)

So, we have:

E(x^2) = 0^2 * 0.2 + 1^2 * 0.1 + 2^2 * 0.1 + 3^2 * 0.2 + 4^2 * 0.2 + 5^2  * 0.2

E(x^2) = 10.5

The standard deviation is:

\sigma = \sqrt{E(x^2) - (E(x))^2}

\sigma = \sqrt{10.5 - 2.7^2}

\sigma = \sqrt{10.5 - 7.29}

\sigma = \sqrt{3.21}

<em></em>\sigma = 1.8<em> --- approximated</em>

5 0
3 years ago
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