Finding A in Exponential Distribution Probability Calculation

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Homework Help Overview

The discussion revolves around the exponential distribution, specifically focusing on determining the normalization constant A in the probability density function f(x) = Ae^(-cx) for x >= 0. Participants are exploring the conditions under which f(x) qualifies as a probability distribution and calculating probabilities associated with the distribution.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the integration of the exponential function to find A, with some expressing confusion about the role of the constant c. Questions arise regarding whether A should be a numerical value and the implications of not having a specific value for c. There is also exploration of how to express probabilities such as P(x < 1) and the correct limits for integrals.

Discussion Status

The discussion is active, with participants providing feedback on each other's calculations and interpretations. Some guidance has been offered regarding the correct formulation of integrals and the relationship between A and c. Multiple interpretations of the problem are being explored, particularly concerning the limits of integration and the expression of probabilities.

Contextual Notes

Participants note that the original problem does not provide a specific value for c, which affects the determination of A. There is also mention of standard conventions in expressing probabilities related to the exponential distribution.

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Homework Statement



The expoential distribution is given by

f(x) = 0 for x <0 and f(x) = Ae^-cx for x >= 0

Homework Equations





The Attempt at a Solution



Find A so that f(x) is a probability distribution. So all that I did was use the def.

I said A∫e^(-cx) dx = 1 from 0 to ∞ I integrated it I got that A/c = 1 so A = c.


So then the next question says find P(x <1) so I did ∫ce^-ct dt = -e^(-ct) between [0,1] so I'm just confused because I have c still it isn't like it's going to drop out. So I'm thinking I did something wrong. Should A be numerical? I don't see how . Thanks
 
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Probably a statistician would know this, but I don't. What is P(x)?
 
Probability. Idk. If they say find the probability that x <1 then you express it as P( x<1)
 
Jbreezy said:

Homework Statement



The expoential distribution is given by

f(x) = 0 for x <0 and f(x) = Ae^-cx for x >= 0

Homework Equations





The Attempt at a Solution



Find A so that f(x) is a probability distribution. So all that I did was use the def.

I said A∫e^(-cx) dx = 1 from 0 to ∞ I integrated it I got that A/c = 1 so A = c.


So then the next question says find P(x <1) so I did ∫ce^-ct dt = -e^(-ct) between [0,1] so I'm just confused because I have c still it isn't like it's going to drop out. So I'm thinking I did something wrong. Should A be numerical? I don't see how . Thanks

Since you aren't given a value for c, you aren't going to get a value for A that is a specific number. I don't see anything wrong in your work.
 
OK. So report my answer for P( x<1 ) = ∫ce^-ct dt = -e^(-ct) between [0,1]
as 1/e^c
 
I'm not sure you're writing what you mean.

$$ \int e^{-ct}dt = -\frac 1 c \int e^{-ct} (-c dt) = -\frac 1 c e^{-ct} + C$$

For the definite integral you get 1/c. Note that I haven't included A, but if you multiply throughout by A, you get A/c. For that to be equal to 1, then A = c, which is what you had.
 
Jbreezy said:
OK. So report my answer for P( x<1 ) = ∫ce^-ct dt = -e^(-ct) between [0,1]
as 1/e^c

That isn't correct. ##P(X<1)=\int_0^1 ce^{-cx}~dx## and you have left out the lower limit in your calculation.

Also, I think most texts define the exponential density function as ##\lambda e^{-\lambda x}## for ##x > 0## in the first place.
 
This was my course pack. What do you mean it isn't right ? What isn't right? my answer for my integral 1/e^c?

I have the lower limit [0,1] what are you talking about.
 
OH I see the lower limit missing. But what else isn't right?
 
  • #10
## P(X<1)=\int_0^1 ce^{-cx}~dx = 1-1/e^c ## Is this correct?

And is
## P(.5 < X<1.5)=\int_0^1 ce^{-cx}~dx = 1/e^c(0.5) - 1/e^c(1.5) ## correct?
I don't get what your saying is wrong LCKurtz
 
Last edited:
  • #11
Jbreezy said:
## P(X<1)=\int_0^1 ce^{-cx}~dx = 1-1/e^c ## Is this correct?
I think so. It's been a long time since I studied mathematical statistics, and I seem to recall that this is a Poisson distribution.
Jbreezy said:
And is
## P(.5 < X<1.5)=\int_0^1 ce^{-cx}~dx = 1/e^c(0.5) - 1/e^c(1.5) ## correct?
I don't get what your saying is wrong LCKurtz
## P(.5 < X<1.5)=\int_{.5}^{1.5} ce^{-cx}~dx ##

In general, ## P(a < X< b)=\int_a^b ce^{-cx}~dx ##, where a ≥ 0 and b ≥ a.
 
  • #12
Jbreezy said:
## P(X<1)=\int_0^1 ce^{-cx}~dx = 1-1/e^c ## Is this correct?

Yes

And is
## P(.5 < X<1.5)=\color{red}{\int_0^1} ce^{-cx}~dx = 1/e^c(0.5) - 1/e^c(1.5) ## correct?

Put the correct limits on the integral and it will be.
 
  • #13
Oh I'm sorry. I just copied your tex and forgot to change it. It is OK on my paper.
Thanks
 
  • #14
Jbreezy said:

Homework Statement



The expoential distribution is given by

f(x) = 0 for x <0 and f(x) = Ae^-cx for x >= 0

Homework Equations


The Attempt at a Solution



Find A so that f(x) is a probability distribution. So all that I did was use the def.

I said A∫e^(-cx) dx = 1 from 0 to ∞ I integrated it I got that A/c = 1 so A = c.So then the next question says find P(x <1) so I did ∫ce^-ct dt = -e^(-ct) between [0,1] so I'm just confused because I have c still it isn't like it's going to drop out. So I'm thinking I did something wrong. Should A be numerical? I don't see how . Thanks

The value A = c is correct. Also:
P(X \leq v) = 1 - e^{-cv}, \: \: P(X &gt; v) = e^{-cv}.
These are used so often that if you plan to do more Probability in the future you should commit them to memory, along with
E X = \frac{1}{c}, \; \; \text{Var} X = \frac{1}{c^2}.

BTW: the standard way of writing is to use ##e^{-cv}## rather than ##1/e^{cv}##. They are, of course, eqiuivalent, but the first way is used all the time by everybody, at least in works on probability.
 
Last edited:
  • #15
OH Ok cool thanks for the info ray.
 

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