Probability density of a needle

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Homework Help Overview

The discussion revolves around the probability density of the x-coordinate of a needle on a broken car speedometer, which can swing freely and is equally likely to rest at any angle between 0 and π. Participants are exploring the mathematical formulation of the probability density function ρ(x) based on the needle's length r and its projection on a horizontal line.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants are questioning the reasoning behind the proposed probability density function and whether it can be simplified. There are discussions about the implications of the needle's angle and its projection on the horizontal line. Some participants express confusion regarding the interpretation of the problem statement and the meaning of the x-coordinate in this context.

Discussion Status

The discussion is ongoing, with various interpretations being explored. Some participants have provided insights into the relationship between the angle of the needle and its horizontal projection, while others are seeking alternative methods to derive the probability density directly without relying on the angle. There is a recognition of the complexity of the problem and the need for careful consideration of the assumptions involved.

Contextual Notes

Participants are grappling with the ambiguity in the problem statement regarding the definition of the x-coordinate and the reference point for measuring it. There is also a mention of the need for a solid understanding of probability concepts, as intuition alone may lead to misunderstandings.

user3
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A needle on a broken car speedometer is free to swing and bounces perfectly off the pins at either end, so if you give it a flick it is equally likely to come at rest at any angle between 0 and pi. If the needle has a length r, what's the probability density ρ(x) of the x-coordinate of the needle point - the projection of the needle on the horizontal line?

Answer: 1/(pi r sin(theta) ) = 1/(pi r √(1-(x/r)^2 ) )
I can't see why the answer is not simply 1/2r. The shadow of the tip of the needle is equally likely to be seen at any point from -r to r
 
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user3 said:
A needle on a broken car speedometer is free to swing and bounces perfectly off the pins at either end, so if you give it a flick it is equally likely to come at rest at any angle between 0 and pi. If the needle has a length r, what's the probability density ρ(x) of the x-coordinate of the needle point - the projection of the needle on the horizontal line?

Answer: 1/(pi r sin(theta) ) = 1/(pi r √(1-(x/r)^2 ) )
I can't see why the answer is not simply 1/2r. The shadow of the tip of the needle is equally likely to be seen at any point from -r to r

That is just an opinion, and it's wrong. It's more likely to be seen near the ends. It's equally likely to appear anywhere on the semicircle descibing the dial. It's x coordinate is more likely to be near the ends, since the semicircle has more length near the ends than it does in the middle.
 
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Ok, could you please tell how to attack problems such as these effectively ?
 
user3 said:
A needle on a broken car speedometer is free to swing and bounces perfectly off the pins at either end, so if you give it a flick it is equally likely to come at rest at any angle between 0 and pi. If the needle has a length r, what's the probability density ρ(x) of the x-coordinate of the needle point - the projection of the needle on the horizontal line?

Answer: 1/(pi r sin(theta) ) = 1/(pi r √(1-(x/r)^2 ) )



I can't see why the answer is not simply 1/2r. The shadow of the tip of the needle is equally likely to be seen at any point from -r to r

Work it out from first principles. Don't "guess". Probability---especially---is one of those subjects in which untrained intuition is often wrong.
 
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I found this: https://www.physicsforums.com/showthread.php?t=372696

I Understand what he's doing. He took the same approach as the textbook by first finding rho of theta, but is there an approach where you don't have to do that? I would like to find rho of x directly.
 
I don't much like the way this problem is stated. The one "firm" piece of information you are given is that "it is equally likely to come at rest at any angle between 0 and pi". But then you are asked "what's the probability density ρ(x) of the x-coordinate of the needle point?" which makes no sense. There is NO "x- coordinate" on a speedometer! Even the explanation, "the projection of the needle on the horizontal line" is ambiguous. Are we to take "0" at the center point, the pivot for the needle or at the left end?

Assuming we are to take the 0 point at the center, just because that is simplest, then the horizontal line is the "near side" of a right triangle with angle \theta, the angle the needle makes with the horizontal, and hypotenuse of length r. The length of that horizontal is r cos(\theta). Further since that angle is "equally likely" to be anywhere between 0 and \pi, its probability density is d\theta= (1/\pi)dt. Now with x= r cos(\theta), dx= -r sin(\theta)d\theta= -(r/\pi) sin(\theta) dt. From d\theta= (1/\pi)dt we get dx= -(r/\pi) sin(t/\pi)dt.
 
user3 said:
I am sorry. here's the full problm statement. Now please tell me if we can deduce rho of x directly without having to use rho of theta ! https://www.physicsforums.com/showthread.php?t=372696

No, you can't! This statement that the needle is equally likely to come to rest at any angle is all that you know about the probability distribution. If you don't know that, then you don't know anything.
 
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user3 said:
I am sorry. here's the full problm statement. Now please tell me if we can deduce rho of x directly without having to use rho of theta ! https://www.physicsforums.com/showthread.php?t=372696

You want something that is not possible! What you know is that there is a relationship of the form ##X = h(\Theta)## between the random variable ##X## = horizontal location of needle's point and ##\Theta## = angle of needle. You are told the probability distribution of ##\Theta##, and you can figure out the function ##h##. From that you can deduce the probability distribution of the random variable ##X##. This is a standard "change of variable" problem in probability, and it is, basically, the only way to do the question.
 
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Thank you all. I guess my problem was that I thought calculating probability density depended mainly on intuition.
 
  • #11
Intuition will only get you so far!
 
  • #12
user3 said:
Thank you all. I guess my problem was that I thought calculating probability density depended mainly on intuition.

Probability is the area in which "intuition" has led more professional mathematicians astray than any other subject. Intuition can be dangerous until you have built up a solid encyclopedia of facts about the field---in other words, until you have 'trained' your intuition.
 

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