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Tema [17]
3 years ago
10

If f=(2,3),(5,7),(5,4),(9,1), what is the range

Mathematics
2 answers:
Inga [223]3 years ago
4 0

Answer:

The range of f is {1 , 3 , 4 , 7}

Step-by-step explanation:

* Lets revise the relation

- f is a relation between x and y

- x is the input of the relation

- y is the output of the relation

- x is called the domain of the relation

- y is called the range of the relation

- The range is the corresponding value to x

* Now lets solve the problem

∵ f = {(2 , 3) , (5 , 7) , (5 , 4) , (9 , 1)

∵ x = {2 , 5 , 9}

∴ The domain of f is {2 , 5 , 9}

∵ y = {1 , 3 , 4 , 7}

∴ The range of f is {1 , 3 , 4 , 7}

lbvjy [14]3 years ago
3 0

Answer:  Range:{1,3,4,7}

Step-by-step explanation:

We know that, by definition, the Domain is the set of all the x-coordinates of the ordered pairs  and the Range is the set of all the y-coordinates of the ordered pairs.

Therefore, given f=(2,3),(5,7),(5,4),(9,1), you can observe that the set of all second elements of ordered pairs (the values of "y") is the following:

{3,7,4,1}

 Therefore, we can conclude that if f=(2,3),(5,7),(5,4),(9,1) , then the range is:

 Range:{1,3,4,7}

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Step-by-step explanation:

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3 years ago
The mean rent of a 3-bedroom apartment in Orlando is $1300. You randomly select 10 apartments around town. The rents are normall
lana [24]

Answer:

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}

Z = \frac{1100 - 1300}{110.68}

Z = -1.81

Z = -1.81 has a pvalue of 0.0351

1 - 0.0351 = 0.9649

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7 0
4 years ago
A house has decreased in value by 26% since purchased if its current value is 185,00 what was its value when it was purchased
Elodia [21]
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6 0
3 years ago
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Iteru [2.4K]

8/13 = 0.6153

y = cos-1(0.6153)

y = 52.0

I'm not totally sure if this is what you mean or if this is.

y = cos(8/13) = 0.9999 which to the nearest tenth is 1.0

7 0
3 years ago
Read 2 more answers
About how much would it cost to buy 4cd/mp3 players and 3 mp3 players
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The total is  $ 750

Hope this helps
5 0
3 years ago
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