Understanding the PMF of a Random Variable: A Brief Overview

AI Thread Summary
Understanding the probability mass function (PMF) of a random variable requires foundational knowledge, including the distinction between continuous and discrete probability distributions. The discussion emphasizes the importance of effort in learning, suggesting that users should engage with the material before seeking assistance. A recommendation is made to sketch the cumulative distribution function (CDF) to better grasp the concepts. The initial poster acknowledges limited progress and seeks a foundational answer for further questions. Engaging with these concepts is essential for a deeper understanding of probability theory.
flughafen
Messages
2
Reaction score
0
Homework Statement
statistics
Relevant Equations
pmf
I am new to the topic so I do need your help here. Thanks in advance

1.png
 
Physics news on Phys.org
Hello @flughafen, :welcome: !

Unfortunately for you, PF requires an effort from you before we are allowed to assist. So: what have you got thus far ?
 
BvU said:
Hello @flughafen, :welcome: !

Unfortunately for you, PF requires an effort from you before we are allowed to assist. So: what have you got thus far ?

I haven't gotten much far yet. Just left it there, thinking that I could use the answer of this as base for other alike questions.
 
flughafen said:
I haven't gotten much far yet. Just left it there, thinking that I could use the answer of this as base for other alike questions.

Have you tried sketching the cdf as in part a? This should help you to see what's going on.
 
Last edited by a moderator:
Do you not at least know the difference between a "continuous" and a "discrete" probability distribution? That is one of the questions asked that you did not answer.
 

Thread 'Struggling to understand the concept of this question (ice cube in water optics question)'

TL;DR Summary: I came across this question from a Sri Lankan A-level textbook. Question - An ice cube with a length of 10 cm is immersed in water at 0 °C. An observer observes the ice cube from the water, and it seems to be 7.75 cm long. If the refractive index of water is 4/3, find the height of the ice cube immersed in the water. I could not understand how the apparent height of the ice cube in the water depends on the height of the ice cube immersed in the water. Does anyone have an...
View full post »
Thread 'Variable mass system : water sprayed into a moving container'

Thread 'Variable mass system : water sprayed into a moving container'

Starting with the mass considerations #m(t)# is mass of water #M_{c}# mass of container and #M(t)# mass of total system $$M(t) = M_{C} + m(t)$$ $$\Rightarrow \frac{dM(t)}{dt} = \frac{dm(t)}{dt}$$ $$P_i = Mv + u \, dm$$ $$P_f = (M + dm)(v + dv)$$ $$\Delta P = M \, dv + (v - u) \, dm$$ $$F = \frac{dP}{dt} = M \frac{dv}{dt} + (v - u) \frac{dm}{dt}$$ $$F = u \frac{dm}{dt} = \rho A u^2$$ from conservation of momentum , the cannon recoils with the same force which it applies. $$\quad \frac{dm}{dt}...
View full post »

Similar threads

I How to show these random variables are independent?
Replies
1
Views
2K
I Random variable vs Random Process
Replies
2
Views
2K
I Statistical modeling and relationship between random variables
Replies
7
Views
2K
I Linear regression and random variables
Replies
30
Views
4K
Impact of several variables on resulting projectile motion trajectory
Replies
3
Views
2K
I Sample space, outcome, event, random variable, probability...
Replies
6
Views
3K
I Randomly Stopped Sums vs the sum of I.I.D. Random Variables
Replies
2
Views
2K
I Sampling theory and random sample
Replies
5
Views
2K
Dispersion of rightward steps in 1-D random walks
Replies
3
Views
561
Break a Stick Example: Random Variables
Replies
1
Views
1K

Hot Threads

Recent Insights

Back
Top