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irinina [24]
1 year ago
5

Suppose we want to choose 3 letters, without replacement, from the 4 letters A, B, C, and D. How many ways can this be done, if

the order of the choices is relevant? how many ways can this be done, if the order of the choices is not relevant?
Mathematics
1 answer:
Vinvika [58]1 year ago
8 0

The number of ways can this be done, if the order of the choices is relevant will be 24. And the number of ways can this be done if the order of the choices is not relevant will be 4.

<h3>What are permutation and combination?</h3>

A permutation is an act of arranging items or elements in the correct order. Combinations are a way of selecting items or pieces from a group of objects or sets when the order of the components is immaterial.

Suppose we want to choose 3 letters, without replacement, from the 4 letters A, B, C, and D.

The number of ways can this be done, if the order of the choices is relevant will be

⁴P₃ = 4! / (4 - 3)!

⁴P₃ = 4 x 3 x 2 x 1 / 1

⁴P₃ = 24

The number of ways can this be done if the order of the choices is not relevant will be

⁴C₃ = 4! / [(4 - 3)! x 3!]

⁴C₃ = (4 x 3!) / (3! x 1)

⁴C₃ = 4

More about the permutation and the combination link is given below.

brainly.com/question/11732255

#SPJ1

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96.49% probability that the mean rent is more than $1100

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.

In this problem, we have that:

\mu = 1300, \sigma = 350, n = 10, s = \frac{350}{\sqrt{10}} = 110.68

What is the probability that the mean rent is more than $1100?

This is 1 subtracted by the pvalue of Z when X = 1100. So

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

By the Central Limit Theorem

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

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Z = -1.81 has a pvalue of 0.0351

1 - 0.0351 = 0.9649

96.49% probability that the mean rent is more than $1100

7 0
3 years ago
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