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Alecsey [184]
3 years ago
15

The mail arrival time to a department has a uniform distribution over 5 to 45 minutes. What is the probability that the mail arr

ival time is more than 25 minutes on a given day? Answer: (Round to 2 decimal places.)
Mathematics
1 answer:
VashaNatasha [74]3 years ago
8 0

Answer:

0.5

Step-by-step explanation:

An uniform probability is a case of probability in which each outcome is equally as likely.

For this situation, we have a lower limit of the distribution that we call a and an upper limit that we call b.

The probability that we find a value X higher than x is given by the following formula.

P(X > x) = \frac{b - x}{b-a}

The mail arrival time to a department has a uniform distribution over 5 to 45 minutes.

This means that a = 5, b = 45.

What is the probability that the mail arrival time is more than 25 minutes on a given day?

P(X > 25) = \frac{45 - 25}{45 - 5} = 0.5

So the probability that the mail arrival time is more than 25 minutes on a given day is 0.5.

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D  Point A

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3 years ago
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To estimate the percentage of a state's voters who support the current
Lady bird [3.3K]

Using the Central Limit Theorem, the percentage that is expected to be the closest to the actual percentage is:

A. The Tribune, at 68%.

<h3>What does the Central Limit Theorem state?</h3>

It states that for a proportion p in a sample of size n, the sampling distribution of sample proportion is approximately normal with mean \mu = p and standard error s = \sqrt{\frac{p(1 - p)}{n}}, as long as np \geq 10 and n(1 - p) \geq 10.

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More can be learned about the Central Limit Theorem at brainly.com/question/16695444

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3 0
2 years ago
Please help, im confused
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It look like that. 
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Which two ratios represent quantities that are proportional
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