1. i am trying to push myself and learn these furTher exercises in my maths i would any appreciate any comments and help.

Question 1 what is probability u happens if n happens... P(U INTERSECTION N) / P(U)?

Question 2 probability of U or S happening in the sample space of UDP or 52 byte size packet? Let me think hmmm
450,000: UDP, 20% UDP 450,000 times 0.2 answr correct??

Question 3 pick at random packet and packet of size 52. 1million packet so (0.2*450,000)+(0.9*500,000) correct again?

Question 4 probabalility u happens given s happens and is type of UDP ok P(U intersection S) / P(U)?

Question 5 not of size 52 bytes and is UDP so probability of U given N oh ok.
P(U intersection N) / P(N) = (450,000 INTERSECTION (450,000 * 0.8)) / (450000*0.8+500,000 * 0.1)???
Sample size of anything is equal to 1.

Nevertheless i am not quite sure i am appreciating insight and help, thanks.

2. Originally Posted by Leanna
i am trying to push myself and learn these furTher exercises in my maths i would any appreciate any comments and help.

Question 1 what is probability u happens if n happens... P(U INTERSECTION N) / P(U)?

Question 2 probability of U or S happening in the sample space of UDP or 52 byte size packet? Let me think hmmm
450,000: UDP, 20% UDP 450,000 times 0.2 answr correct??

Question 3 pick at random packet and packet of size 52. 1million packet so (0.2*450,000)+(0.9*500,000) correct again?

Question 4 probabalility u happens given s happens and is type of UDP ok P(U intersection S) / P(U)?

Question 5 not of size 52 bytes and is UDP so probability of U given N oh ok.
P(U intersection N) / P(N) = (450,000 INTERSECTION (450,000 * 0.8)) / (450000*0.8+500,000 * 0.1)???
Sample size of anything is equal to 1.

Nevertheless i am not quite sure i am appreciating insight and help, thanks.
Hi Leanna,

Welcome to MHB!

Let me see if I can try to help some...

Quote:
Question 1 what is probability u happens if n happens... P(U INTERSECTION N) / P(U)?
Here is what you correctly stated : $\displaystyle P(U|N) = \frac{P(U \cap N)}{P(N)}$.

This is a question on Bayes' Theorem. Usually we can rewrite the above in an equivalent way:

$\displaystyle P(U|N) = \frac{P(U \cap N)}{P(N)} = \frac{P(N|U)\cdot P(U)}{P(N)}$

Looking at this it makes sense that the first question written on the page is $P(N|U)$. Do you have any idea what this probability is?

P(n|u) = 0.8 right?
P(n|t) = 0.1 right ? and

4. Originally Posted by Leanna
P(n|u) = 0.8 right?
P(n|t) = 0.1 right ? and
Yes these both sound correct to me.

To finish answering your first question, what is $P(U)$ and what is $P(N)$ (this one is trickier)?

Originally Posted by Jameson
Yes these both sound correct to me.

To finish answering your first question, what is $P(U)$ and what is $P(N)$ (this one is trickier)?
I worked that out but is the last question 0.667 (3d.p), the reason I'm not sure about this last question is because the approximations at the bottom is different.

And is the second to last question I think: $P(U|S)$ = (90,000/1,000,000) / (540,000/1,000,000)
Only these two I'm not completely sure it's right, what do you think? 😁

6. Originally Posted by Leanna
I worked that out but is the last question 0.667 (3d.p), the reason I'm not sure about this last question is because the approximations at the bottom is different.

And is the second to last question I think: $P(U|S)$ = (90,000/1,000,000) / (540,000/1,000,000)
Only these two I'm not completely sure it's right, what do you think? 😁
$\displaystyle P(U|S) = \frac{P(S|U)\cdot P(U)}{P(S)}$

The numerator has two components to multiply and $P(S)$ can be expanded into two cases using the . $P(S)=P(S|U)\cdot P(U)+P(S|T)\cdot P(T)$.