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aliya0001 [1]
3 years ago
11

Simplify this please!

Mathematics
2 answers:
ira [324]3 years ago
6 0

Answer:

Exact Form:

2√3

Decimal Form:

3.4641016

Alborosie3 years ago
5 0

Answer: 7.745967

Step-by-step explanation:

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Rewrite each expression by factoring out the greatest common factor.
astra-53 [7]

Answer:

7(X+2)

5(Y-5)

(-3X-3^3)

-3(X+1^3)

8 0
3 years ago
Look at this diagram:If OS and TV are parallel lines and m
Keith_Richards [23]

∠VUR and ∠QRU are alternate interior angles, the line that links them is Z-shaped, which means that these angles are equal, so that:

\angle\text{VUR}=\angle\text{QRU}=134º

5 0
1 year ago
What is negative 9 over 5 divided by 2?
Zarrin [17]

Answer:

the answer is -0. 9 for the question

4 0
3 years ago
Suppose that the times it takes adult women to run a mile are normally distributed with an unknown mean and standard deviation.
Inga [223]

Answer:

Step-by-step explanation:

8 0
2 years ago
A college conducts a common test for all the students. For the Mathematics portion of this test, the scores are normally distrib
Jet001 [13]

Using the normal distribution, it is found that 58.97% of students would be expected to score between 400 and 590.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

Z = \frac{X - \mu}{\sigma}

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 502, \sigma = 115

The proportion of students between 400 and 590 is the <u>p-value of Z when X = 590 subtracted by the p-value of Z when X = 400</u>, hence:

X = 590:

Z = \frac{X - \mu}{\sigma}

Z = \frac{590 - 502}{115}

Z = 0.76

Z = 0.76 has a p-value of 0.7764.

X = 400:

Z = \frac{X - \mu}{\sigma}

Z = \frac{400 - 502}{115}

Z = -0.89

Z = -0.89 has a p-value of 0.1867.

0.7764 - 0.1867 = 0.5897 = 58.97%.

58.97% of students would be expected to score between 400 and 590.

More can be learned about the normal distribution at brainly.com/question/27643290

#SPJ1

6 0
2 years ago
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