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Kruka [31]
3 years ago
7

How many gallons of water did niles pour into the tank each minute? Please help me asap​

Mathematics
1 answer:
iren [92.7K]3 years ago
3 0

Step-by-step explanation:

3

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Sawyer fills 1/6 of his gas tank in 3/4 of a minute. How many minutes will it take Sawyer to fill his gas tank?
Radda [10]

Answer:

.75 * 6 = 4.5 minutes

Step-by-step explanation:

.75 is 3/4 multiply by 6 because 6/6 is a whole tank of gas.

Sawyers tank takes 4.5 minutes to be filled up.

5 0
3 years ago
Read 2 more answers
Does anyone know this?
Nesterboy [21]
It's 4 units right and 3 units up :)
7 0
3 years ago
Read 2 more answers
Is it multiplication or division?...How much ch ice cream does each cone hold of four cones hold 1/2 pound
zubka84 [21]

2 ounces

using the conversion

1 pound = 16 ounces ⇒ \frac{1}{2} = 8 ounces

Divide 8 by 4 to calculate amount for each cone

amount = 8 ÷ 4 = 2 ounces


4 0
3 years ago
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.
  • 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

7 0
2 years ago
Please help! Help is appreciated! :)
-Dominant- [34]
Your answer to the question is A
4 0
3 years ago
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