Probability Mass Function of a Discrete Non-Uniform Distribution

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Homework Help Overview

The discussion revolves around understanding the Probability Mass Function (PMF) of a discrete non-uniform distribution, specifically in the context of the digits of a given number, 927189234. Participants are exploring how to calculate the PMF for the digits 0 through 9 based on their occurrences in the number.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants are attempting to calculate the PMF values for each digit and are questioning whether their calculated probabilities represent the PMF correctly. There is also discussion about the graphical representation of the PMF and the conditions that must be satisfied, such as non-negativity and the sum equaling one.

Discussion Status

Some participants have provided insights into the nature of the PMF and its properties, while others are clarifying misunderstandings regarding the distinction between PMF and cumulative distribution function (CDF). The conversation is ongoing, with various interpretations and calculations being explored.

Contextual Notes

There is a noted confusion regarding the calculation of probabilities and the representation of the PMF, particularly in relation to the requirement that the sum of the PMF values must equal one. Participants are also addressing the need to include all relevant x values in their PMF tables.

iTee
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Homework Statement



I'm having trouble understanding PMF. We are given a number, say, 927189234.

We need to calculate the PMF of (0, 1, ..., 9) in this distribution.

Homework Equations





The Attempt at a Solution



Calculating the probabilities is easy,

P(9) = 2/9
P(8) = 1/9
.
.
.
P(0) = 0/9

I fail to understand if this is the same as the PMF.

Any help would be greatly appreciated.
 
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iTee said:

Homework Statement



I'm having trouble understanding PMF. We are given a number, say, 927189234.

We need to calculate the PMF of (0, 1, ..., 9) in this distribution.

Homework Equations





The Attempt at a Solution



Calculating the probabilities is easy,

P(9) = 2/9
P(8) = 1/9
.
.
.
P(0) = 0/9

I fail to understand if this is the same as the PMF.

Any help would be greatly appreciated.

What do YOU think is meant by the term PMF?

RGV
 
-None-
 
Last edited:
I've understood the PMF by graphing it out,

So if the X-axis is the (0,1 ..., 9) and the Y-axis are the probabilities, the height of each X-axis value is its PMF. But I don't understand how the Y-axis probabilities are calculated or would they be 0, 1/9, 2/9..., 1.

I've read that the PMF >= 0 and that the sum of the PMF's of all possible values in a distribution should be equal to 1.
 
iTee said:
I've understood the PMF by graphing it out,

So if the X-axis is the (0,1 ..., 9) and the Y-axis are the probabilities, the height of each X-axis value is its PMF. But I don't understand how the Y-axis probabilities are calculated or would they be 0, 1/9, 2/9..., 1.

I've read that the PMF >= 0 and that the sum of the PMF's of all possible values in a distribution should be equal to 1.

Exactly!---although very badly worded. (You don't sum the PMFs; there is just one single PMF and it is a table of the probability values; you are not summing different tables, you are just summing the things in a single table.) So the values of the PMF cannot be 0, 1/9, 2/9, ..., 1 because when you sum these you get something much larger than 1. You seem to be confusing PMF and CDF.

RGV
 
PMF of 9 is 2/9.
 
Last edited:
Yes.

RGV
 
So the table of PMF is
{2/9, 2/9, 1/9, 1/9, 1/9, 1/9, 1/9}
?

Thank you.
 
iTee said:
So the table of PMF is
{2/9, 2/9, 1/9, 1/9, 1/9, 1/9, 1/9}
?

Thank you.

Not quite; you also need to specify the x values (and you need to include zero). I liked your original description P(0) = 0, P(1) = 2/9, etc. much better. That says it all. Or you could make a table with x values in one column (or row) and P(x) values in the other column (or row).

RGV
 

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