Probability Density Function

In summary: That would make no sense. In summary, the value of c= (-3 - sqrt57) / 4 is rejected because it would result in a negative probability density function, which is not possible. This is determined by setting the integral of the function equal to 1 and solving for c, which leads to the extraneous solution. The extraneous solution is produced when the c^2 term is introduced into the equation, as it allows for the possibility of a negative c value. This value is not valid because it would result in a negative probability density function, violating the necessary property that f(x) must be greater than or equal to 0 for all values of x. This is important for ensuring a valid and meaningful probability density function
  • #1
kingwinner
1,270
0
Q: Given f(x) = cx + (c^2)(x^2), 0<x<1.
What is c such that the above is a proper probability density function?


Solution:
1
∫ f(x) dx = 1
0
=> 2(c^2) + 3c - 6 =0
=> c= (-3 + sqrt57) / 4 or c= (-3 - sqrt57) / 4
=> Answer: c= (-3 + sqrt57) / 4 (the second one rejected)
======================================

Now, what is the reason of rejecting c= (-3 - sqrt57) / 4 ?

Also, in which step is this extraneous solution produced and why is it produced?


Thanks for explaining!
 
Physics news on Phys.org
  • #2
kingwinner said:
Q: Given f(x) = cx + (c^2)(x^2), 0<x<1.
What is c such that the above is a proper probability density function?


Solution:
1
∫ f(x) dx = 1
0
=> 2(c^2) + 3c - 6 =0
=> c= (-3 + sqrt57) / 4 or c= (-3 - sqrt57) / 4
=> Answer: c= (-3 + sqrt57) / 4 (the second one rejected)
======================================

Now, what is the reason of rejecting c= (-3 - sqrt57) / 4 ?

Also, in which step is this extraneous solution produced and why is it produced?


Thanks for explaining!
[itex]\int_0^1 cx+ c^2x^2 dx= c/2+ c^2/3[/itex]. Setting that equal to 1, c/2+ c2/3= 1, and multiplying through by 6, 3c+ 2c2= 6 or 2c2+ 3c- 6= 0. That has, as you say, roots of
[tex]c= \frac{-3\pm\sqrt{57}}{2}[/tex]

Because the cumulative probabilty must be increasing, if c were negative we could have a section on which the probability from a to b (b> a) might be negative and that is impossible. As to "where the extraneous solution was produced", it was really produced when the "c2" was put into the problem. That introduced the possiblity of a negative value of c.
 
Last edited by a moderator:
  • #3
I don't see why the second one is rejected. Does it say it's rejected or is it just not in the answer?
 
  • #4
Ah, OK. Nevermind. Makes sense.
 
  • #5
Graphically speaking, if you draw f(x) and notice a section of it below the x-axis, then there's chance of getting a negative probability in some interval [a, b] which is a no no. That means that f must satisfy that additional property that f(x) >= 0 for all values of x. Right?
 
  • #6
HallsofIvy said:
Because the cumulative probabilty must be increasing, if c were negative we could have a section on which the probability from a to b (b> a) might be negative and that is impossible.
OK, but how do you know for sure that for the second "c", there IS a section on which the density function is negative? (without a graphing calculator since I am not allowed to use it...)


As to "where the extraneous solution was produced", it was really produced when the "c2" was put into the problem. That introduced the possiblity of a negative value of c.
But the original density function has a c^2 too, I did NOT "square both sides", so there shouldn't be any extraneous solution, right?


Thanks a lot for your help and explanation!
 
  • #7
If c= (-3-[itex]\sqrt{57})/4, which is approximately -2.7, then your probability density function is f(x) = cx + (c^2)(x^2) or f(x)= 6.9x2- 2.7x. That's a parabola and has zeros at x= 0 and x= 2.7/6.9= .391! If x= .25, f(.25)= 6.9(.0625)- 2.7(.25)= -.632> 0 which means that f(x)< 0 for all x between 0 and .391. If you were to use that value for c, you would find that the "probability" that x las between, say 0 and .25 was negative!
 

1. What is a Probability Density Function (PDF)?

A Probability Density Function (PDF) is a mathematical function used to describe the likelihood of a continuous random variable falling within a particular range of values. It is often visualized as a curve on a graph, where the area under the curve represents the probability of the variable occurring within that range.

2. How is a PDF different from a Probability Mass Function (PMF)?

While both PDFs and PMFs are used to describe the probabilities of different outcomes for random variables, they differ in the type of random variables they are used for. PDFs are used for continuous random variables, while PMFs are used for discrete random variables.

3. What is the relationship between a PDF and a Cumulative Distribution Function (CDF)?

The Cumulative Distribution Function (CDF) is the integral of the PDF and represents the probability of a random variable being less than or equal to a certain value. In other words, the CDF is the area under the PDF curve up to a certain point.

4. How is the PDF used in statistical analysis?

The PDF is used to calculate the probability of a continuous random variable falling within a certain range of values. It is an important tool in statistical analysis, as it allows researchers to make predictions and draw conclusions about the likelihood of certain outcomes occurring.

5. Can the PDF be used for all types of continuous random variables?

No, the PDF can only be used for continuous random variables that have a finite and well-defined range of values. It cannot be used for random variables that have an infinitely large or undefined range, such as the normal distribution.

Similar threads

  • Calculus and Beyond Homework Help
Replies
19
Views
911
  • Calculus and Beyond Homework Help
Replies
5
Views
616
  • Calculus and Beyond Homework Help
Replies
5
Views
772
  • Calculus and Beyond Homework Help
Replies
3
Views
247
  • Calculus and Beyond Homework Help
Replies
4
Views
681
  • Calculus and Beyond Homework Help
Replies
2
Views
531
  • Calculus and Beyond Homework Help
Replies
21
Views
826
  • Calculus and Beyond Homework Help
Replies
6
Views
840
  • Calculus and Beyond Homework Help
Replies
1
Views
258
  • Calculus and Beyond Homework Help
Replies
6
Views
589
Back
Top