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kumpel [21]
4 years ago
7

Find the domain of this function and how would you plot points of f: f(x) = x/(x^2 + a)

Mathematics
1 answer:
skad [1K]4 years ago
4 0
<span>The domain of a function is defined as the set of inputs in which this function is valid. For functions an element in the domain cannot be matched with two different elements in the range (or set of outputs). So we have the following functions:

f(x)=\frac{x}{x^{2}+a}

So we need to find the valid inputs. In the numerator we have the function x that is valid for the whole set of the real number. The denominator has the function </span>$x^{2}+a$<span>, so given that this function is in the denominator then it can not be equal zero, therefore:

</span>If \ a \geq 0 \\ x^{2}+a \neq 0 \ Always! \\ \\ If \ a\ \textless \ 0 \\ x^{2}+a = 0 \ when  \ x= \pm \sqrt{a}
<span>
So the domain we will have two options for the domain of the function, namely:

First option:

</span>If \ a \geq 0 \\ D:\{x \in \mathbb{R}\}

Second option:

If \ a\ \textless \ 0 \\ D:\{x \in \mathbb{R}\backslash \ x \neq \pm \sqrt{a}\}<span>

How to plot points?

For the first option, let a be a real value where a\geq 0 and let x take some real values and find the value of f(x). For example:

</span>Let \ a=2 \\ \\ f(x)= \frac{x}{x^2+2} \\ \\ x=-3, \ f(3)=-0.27 \\ P_{1}(-3,-0.27) \\ \\ x=-2, \ f(-2)=-0.33 \\ P_{2}(-2,-0.33) \\ \\ x=-1, \ f(-1)=-0.33 \\ P_{3}(-1,-0.33) \\ \\ x=0, \ f(0)=0 \\ P_{4}(0,0) \\ \\ x=1, \ f(1)=0.33 \\ P_{5}(1,0.33) \\ \\ x=2, \ f(2)=0.33 \\ P_{6}(2,0.33) \\ \\ x=3, \ f(3)=0.27 \\ P_{7}(3,0.27)
<span>
The points of this function are shown in the figure below. You can do the same for the second option, the only exception is that </span>x \neq \pm \sqrt{a}, that is, the only points you must not graph is when x=\pm \sqrt{a}. Those points does not exist.<span>

</span>

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Answer:

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Step-by-step explanation:

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A professor at a local community college noted that the grades of his students were normally distributed with a mean of 84 and a
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Answer:

A. P(x>91.71)=0.10, so the minimum grade is 91.71

B. P(x<72.24)=0.025 so the maximum grade could be 72.24

C. By rule of three, 200 students took the course

Step-by-step explanation:

The problem says that the grades are normally distributed with mean 84 and STD 6, and we are asked some probabilities. We can´t find those probabilities directly only knowing the mean and STD (In that distribution), At first we need to transfer our problem to a Standard Normal Distribution and there is where we find those probabilities. We can do this by a process called "normalize".

P(x<a) = P( (x-μ)/σ < (a-μ)/σ ) = P(z<b)

Where x,a are data from the original normal distribution, μ is the mean, σ is the STD and z,b are data in the Standard Normal Distribution.

There´s almost no tools to calculate probabilities in other normal distributions. My favorite tool to find probabilities in a Standard Normal Distribution is a chart (attached to this answer) that works like this:

P(x<c=a.bd)=(a.b , d)

Where "a.b" are the whole part and the first decimal of "c" and "d" the second decimal of "c", (a.b,d) are the coordinates of the result in the table, we will be using this to answer these questions. Notice the table only works with the probability under a value (P(z>b) is not directly shown by the chart)

A. We are asked for the minimum value needed to make an "A", in other words, which value "a" give us the following:

P(x>a)=0.10

Knowing that 10% of the students are above that grade "a"

What we are doing to solve it, as I said before, is to transfer information from a Standard Normal Distribution to the distribution we are talking about. We are going to look for a value "b" that gives us 0.10, and then we "normalize backwards".

P(x>b)=0.10

Thus the chart only works with probabilities UNDER a value, we need to use this property of probabilities to help us out:

P(x>b)=1 - P(x<b)=0.10

P(x<b)=0.9

And now, we are able to look "b" in the chart.

P(x<1.28)=0.8997

If we take b=1.285

P(x<1.285)≈0.9

Then

P(x>1.285)≈0.1

Now that we know the value that works in the Standard Normal Distribution, we "normalize backwards" as follows:

P(x<a) = P( (x-μ)/σ < (a-μ)/σ ) = P(z<b)

If we take b=(a+μ)/σ, then a=σb+μ.

a=6(1.285)+84

a=91.71

And because P(x<a)=P(z<b), we have P(x>a)=P(z>b), and our answer will be 91.71 because:

P(x>91.71) = 0.1

B. We use the same trick looking for a value in the Standard Normal Distribution that gives us the probability that we want and then we "normalize backwards"

The maximum score among the students who failed, would be the value that fills:

P(x<a)=0.025

because those who failed were the 2.5% and they were under the grade "a".

We look for a value that gives us:

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P(z<-1.96)=0.025

And now, we do the same as before

a=bσ+μ

a=6(-1.96)+84

a=72.24

So, we conclude that the maximum grade is 72.24 because

P(x<72.24)=0.025

C. if 5 students did not pass the course, then (Total)2.5%=5

So we have:

2.5%⇒5

100%⇒?

?=5*100/2.5

?=200

There were 200 students taking that course

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