Distribution Function Of X Help

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Discussion Overview

The discussion centers around understanding a probability distribution function, specifically how to calculate the probability of a continuous random variable X falling within a certain range (6 < X < 12) based on a given piecewise function. The scope includes conceptual clarification and mathematical reasoning related to probability theory.

Discussion Character

  • Homework-related
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • One participant presents a piecewise function for the distribution of X and requests help in calculating the probability for a specific interval.
  • Another participant suggests that understanding the definition of a probability distribution function may provide a good starting point for solving the problem.
  • A different participant explains the relationship between the probability density function and the cumulative distribution function, referencing the Fundamental Theorem of Calculus and suggesting integration as a method to find the probability.
  • One participant expresses frustration with the lack of clear examples in their textbook and the complexity of the material, indicating a struggle with the concepts of density functions and continuous distributions.
  • Another participant shares a resource they found helpful, indicating that they are seeking additional support.
  • One participant mentions the definition of the probability distribution function in terms of cumulative probability.
  • A participant reflects on their long absence from studying these topics, sharing their humorous take on the confusion caused by the material.

Areas of Agreement / Disagreement

Participants express varying levels of understanding and frustration with the material, but there is no consensus on how to approach the problem or agreement on the clarity of the textbook examples. Multiple competing views on how to interpret and solve the problem remain evident.

Contextual Notes

Participants indicate a lack of clear examples in educational materials and express uncertainty regarding the application of concepts to their specific problem. There are references to different formulas and definitions that may not align with the problem at hand.

mircat
This is what I have:

Let the distribution function of X be given by
f(x) = 0, if x < (or equal to) 5
f(x) = x/10 - 1/2, if 5<x<(or equal to) 15
f(x) = 1, if x>15

Find p(6<x<12)

Ok, everyone. I need major help. I have no clue where to even begin. I have searched the web for help w/o luck. I need help in "layman's terms" as I do not understand any of this stuff. (note my other post on die rolls)LOL This equation is due tonight. Please, someone help me. Have to pass this class. :cry:
 
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I bet the answer (or at least a good starting point) lies in the definition of a probability distribution function, if you look it up in your textbook!
 
Lord, Hurky, I have. I have searched online, too. The book is a joke. No where in it is even a close example of one like this. I am still searching. Not going to give up just yet. :o)
 
Answer

Let say X is a continuous random variable with probability density function (or pdf) f(x), and cumulative density function (or distribution function df) F(x). By definition 0<=F(x)<=1, and lim F(x) as x goes to minus or infinity is 0 and 1 respectively. By the Fundamental Theorem of Calculus, f(x)=F'(x), then the integral of f(x)dx from a to b is equal to F(b)-F(a) (where a and b are constants within the interval where f(x) is defined).
In your case, just take the integration of F'(x) = d(x/10 - 1/2) = 1/10, with respect to x from 6 to 12. Or, just evaluate and compute F(12)-F(6)=[(12/10)-1/2] - [(6/10)-1/2].

I think this may work.
 
Last edited:
PS - only one week left, so I won't be pestering all you guys much longer! :smile: I really and truly appreciate everyone's help!
 
Don't you have this definition of the probability distribution function:

f(a) := P(X < a)?
 
I have seen so many of these "formulas" it boggles my poor mind. This last week's assignment is more of the same type...density functions / continuous distribution functions. I just soooo don't get it. I really don't. I see an example from a lecture (written) then the problem I am given to do is nothing like it at all. An exaggeration is: f(x) = a x b + m (x)2 = v is what I am seeing in a lecture, but then I am told to solve the chemical equation for Tide. LOL Make sense? One paragraph shows Xs, Fs, maybe a Y - then the next one adds an E, H - w/o telling me why. Where'd the E and H come from? LOL I am trying to keep a sense of humor about all of this. I will let you know the final grade when it's over. :o) Oh, I see a "t" on this week's lecture. ROFL! :eek:

pami

ps - Hurky, did I tell you it's been almost 20 years since I've seen this stuff. I didn't even have to take Calculus/Stat/Prob in high school...so this is all foreign to me. :o)
 

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