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Natalija [7]
3 years ago
10

3. Does it matter which number comes first in an ordered pair? Explain.​

Mathematics
2 answers:
satela [25.4K]3 years ago
6 0

Answer:

yes

Step-by-step explanation:

This is because if you have the order pair (5,2) and you go up first instead of over first then that would be the order pair (2,5) wich would be a different point on the graph. Always go over and then up.

Alchen [17]3 years ago
3 0

Yes, the order of the numbers in an ordered pair does matter and here’s why:

If you think about an ordered pair, you know that the first number is the x-coordinate and the second number is the y-coordinate. On a graph, the x-coordinate tells you how far left or right the point is (positive goes right and negative goes left) and the y-coordinate tells you how far up or down the point is (positive goes up and negative goes down). If you have an ordered pair (6,2) for example, if you started at the origin (0,0) of a coordinate plane, you would go 6 units to the right and 2 units up. If you flipped the numbers (2,6) you would the go 2 units to the right and 6 units up. These two points (6,2) and (2,6) are not the same, so the order does matter.

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In the university library elevator there is a sign indicating a 16-person limit as well as a weight limit of 2750 pounds. Suppos
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Answer:

0.039 = 3.9% probability that the random sample of 16 people in the elevator will exceed the weight limit

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

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

The Z-score 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. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

If n variables are added, the mean is n\mu and the standard deviation is s = \sqrt{n}\sigma

In this problem:

n = 16, \mu = 160*16 = 2560, s = \sqrt{16}*27 = 108

What is the probability that the random sample of 16 people in the elevator will exceed the weight limit?

This is 1 subtracted by the pvalue of Z when X = 2750. So

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

By the Central Limit Theorem

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

Z = \frac{2750 - 2560}{108}

Z = 1.76

Z = 1.76 has a pvalue of 0.961

1 - 0.961 = 0.039

0.039 = 3.9% probability that the random sample of 16 people in the elevator will exceed the weight limit

7 0
3 years ago
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