Probability related to cumulative distribution function

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Homework Help Overview

The discussion revolves around understanding probabilities related to a cumulative distribution function (CDF) and involves the interpretation of specific probability values based on a provided graph. Participants are exploring the relationships between probabilities of discrete random variables.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants discuss the calculations of probabilities P(X ≤ i), P(X < i), and P(X = i) based on the graph of the CDF. There are attempts to clarify the implications of having multiple integers between 0 and i, and the necessity for the sum of probabilities to equal 1. Some participants question the need for piecewise functions in their answers.

Discussion Status

There is an ongoing exploration of the correct formulations for the probabilities, with some participants providing revised attempts and others offering clarifications on the assumptions made. Guidance has been offered regarding the completeness of the probability distribution.

Contextual Notes

Participants note that the diagram may be missing probabilities for certain values, and there is a discussion about the implications of having multiple integers affecting the probability calculations. The conversation reflects the constraints of the problem as it relates to the properties of probability distributions.

songoku
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Homework Statement
Please see below
Relevant Equations
F(X) = P(X ≤ x)
1697385605593.png


I have tried to answer all the questions but I am not that sure with my answer.

1697386871082.png

That's the graph of ##F_X (x)## (I think)

(i) P (X ≤ i) = ##\frac{i^2}{N^2}## and P(X < i) = 0
All of these are based on the graph

(ii) P(X = i) = P(X ≤ i) - P(X < i) = ##\frac{i^2}{N^2}##

Are my answers correct? Thanks
 
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songoku said:
Homework Statement: Please see below
Relevant Equations: F(X) = P(X ≤ x)

View attachment 333620

I have tried to answer all the questions but I am not that sure with my answer.

View attachment 333621
That's the graph of ##F_X (x)## (I think)

(i) P (X ≤ i) = ##\frac{i^2}{N^2}## and P(X < i) = 0
All of these are based on the graph
If there are several integers between 0 and i, they have positive probability values. so P(X<i) > 0.
songoku said:
(ii) P(X = i) = P(X ≤ i) - P(X < i) = ##\frac{i^2}{N^2}##

Are my answers correct? Thanks
No. Notice that your diagram only has one i < N, but there might be several others. Also, the sum of the probabilities must equal 1, so your diagram is missing a lot of probability.
 
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FactChecker said:
If there are several integers between 0 and i, they have positive probability values. so P(X<i) > 0.

No. Notice that your diagram only has one i < N, but there might be several others. Also, the sum of the probabilities must equal 1, so your diagram is missing a lot of probability.
Ah, I see. Now I understand the question

Revised attempt:
(i)
$$P (X ≤ i) = \frac{i^2}{N^2}$$

$$P(X < i) =
\begin{cases}
0 & \text{if } i= 0 \\
\frac{(i-1)^2}{N^2} & \text{if } i>0
\end{cases}
$$

(ii)
$$P(X = i) =
\begin{cases}
0 & \text{if } i= 0 \\
\frac{2i-1}{N^2} & \text{if } i>0
\end{cases}
$$

For P(X < i) and P(X = i), is there an answer not involving piecewise function? Thanks
 
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just resuming your effort : using Heaviside step function H
F_X(x)=\frac{1}{N^2}\sum_{i=1}^N (i^2-(i-1)^2)H_1(x-i)
Probability density is by differentiation
p(x)=\frac{1}{N^2}\sum_{i=1}^N (i^2-(i-1)^2)\delta(x-i)
Probability for digits are by integrating p(x) around x=i
P(i)=\frac{i^2-(i-1)^2}{N^2}=\frac{2i-1}{N^2}
for ##1 \leq i \leq N##. Otherwise p(x)=0, P(i)=0.
 
Last edited:
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Thank you very much for the help and explanation FactChecker and anuttarasammyak
 

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