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VladimirAG [237]
3 years ago
14

A triangle cannot be both A. obtuse and right. B. acute and isosceles. C. equilateral and equiangular. D. scalene and acute.

Mathematics
2 answers:
Ahat [919]3 years ago
7 0
Well an obtuse triangle has to have an angle above 90 degrees and a right triangle has a 90 degree angle so the answer is A
Lady bird [3.3K]3 years ago
6 0
A.) A Triangle cannot be both "Obtuse and Right"

[ It must be either Obtuse, Right or Acute. Never with two multiple properties ]

Hope this helps!
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4. Amazon executives believe that at least 70% of customers would return a product 2 days after it arrives at their home. A samp
inysia [295]

Using the <u>normal distribution and the central limit theorem</u>, it is found that there is a 0.1635 = 16.35% probability of a sample result with 68% or fewer returns prior to the third day.

In a normal distribution with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

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

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  • After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
  • By the Central Limit Theorem, for a proportion p in a sample of size n, the sampling distribution of sample proportions has mean \mu = p and standard error s = \sqrt{\frac{p(1 - p)}{n}}

In this problem:

  • Sample of 500 customers, hence n = 500.
  • Amazon believes that the proportion is of 70%, hence p = 0.7

The <u>mean and the standard error</u> are given by:

\mu = p = 0.7

s = \sqrt{\frac{p(1 - p)}{n}} = \sqrt{\frac{0.7(0.3)}{500}} = 0.0205

The probability is the <u>p-value of Z when X = 0.68</u>, hence:

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

By the Central Limit Theorem

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

Z = \frac{0.68 - 0.7}{0.0205}

Z = -0.98

Z = -0.98 has a p-value of 0.1635.

0.1635 = 16.35% probability of a sample result with 68% or fewer returns prior to the third day.

A similar problem is given at brainly.com/question/25735688

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2 years ago
Write the decimal expansion for
inysia [295]

Answer:

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Step-by-step explanation:

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