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Serga [27]
3 years ago
14

Round 53.73 to the nearest whole number. A) 53 B) 53.7 C) 54 D) 54.7

Mathematics
1 answer:
liubo4ka [24]3 years ago
3 0
53.73 rounded to the nearest whole number would be C) 54.

***hope this helps:) brainliest? ;)
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What is 2826 rounded to the nearest hunderd
Savatey [412]

Answer:

800

Step-by-step explanation:

2826 around to the nearest hunderd is 800

7 0
3 years ago
Helpppp pleaseeee ????
Agata [3.3K]

Answer:

LQ = 54

Median = 69

UQ = 94

Step-by-step explanation:

This list is already sorted for you, so you don't need to worry about that, otherwise you would need to sort the numbers in ascending order. To find the median, we do \frac{n+1}{2}, where n is the amount of numbers. This gives us 4, so the median is at position 4, so the median is 69. The lower quartile is simply \frac{n+1}{4}, so 2, so the lower quartile is 54. The upper quartile is \frac{n+1}{2} X 3, so 6, so the upper quartile is 94.

3 0
2 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
If you change the the sign of a points y coordnate from positive to negative,how will the location of the point change
Nat2105 [25]

Answer:

Because Point X Will Change After Point Y Changes

Step-by-step explanation:

3 0
3 years ago
Please Help ?????!!!!!!!
mezya [45]
Well if there is 5 then obviously it's 2!!!
4 0
3 years ago
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