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LuckyWell [14K]
3 years ago
13

2+3(6 - 7 ) 5 - 2 ( 9 + 4 ) =

Mathematics
2 answers:
ohaa [14]3 years ago
7 0

Answer: -39

Step-by-step explanation:

Kobotan [32]3 years ago
5 0
2+3(1) 5-2 (13)=
2+3• 5-2•13=
2+15-26=
17-26=
-9
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A faucet in a large tank can fill the tank in 12 hours. However, there is a hose in the tank which would be able to empty the ta
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It would take the faucet 18 hours to fill the tank because 18/12=1.5.  That means it will be 1.5 times slower to fill the tank up with the hose on.  1.5*12=18.
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The number of customers for a new online business can be modeled by y = 8x2 + 100x + 250, where x represents the number of month
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The best prediction for the number of customers is 5450.

To find this value, you just need to plug in 20 for x into the expression. Then, evaluate it using the order of operations.

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Her overall change in her account would be -$525, because she withdrew $75 seven times.
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3 years ago
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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}

  • It measures how many standard deviations the measure is from the mean.  
  • 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.
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In this problem:

  • Sample of 500 customers, hence n = 500.
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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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