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July 18, 2025, 08:11:15 pm

Author Topic: UoM Maths Thread  (Read 30970 times)  Share 

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kinslayer

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Re: UoM Maths Thread
« Reply #90 on: May 17, 2014, 10:27:20 pm »
+1

scribble

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Re: UoM Maths Thread
« Reply #91 on: May 17, 2014, 10:38:10 pm »
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haha oh wow what?! when would be an appropriate time to use gradians even?

bonappler

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Re: UoM Maths Thread
« Reply #92 on: May 18, 2014, 06:09:29 pm »
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if you have a transformation matrix and then get it in terms of another basis, when you multiply this transformation matrix that is with respect to a basis by a certain coordinate will you get the same transformed coordinate that you would get if you used the original matrix?

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Re: UoM Maths Thread
« Reply #93 on: May 21, 2014, 10:04:48 pm »
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If X is a random variable and x is a value that X can take, is the mean of x, E
  • , the same as the mean of X, E[X]? Seems a peculiar question but I just want to make sure.

kinslayer

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Re: UoM Maths Thread
« Reply #94 on: May 21, 2014, 10:24:34 pm »
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If X is a random variable and x is a value that X can take, is the mean of x, E
  • , the same as the mean of X, E[X]? Seems a peculiar question but I just want to make sure.
If x is a value that the random variable X can take, then x is a real number and is just a constant; it is not random. The expected value of a constant is the constant itself: .

Sidenote: is usually referred to as the expectation or expected value of X, rather than the mean.

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Re: UoM Maths Thread
« Reply #95 on: May 21, 2014, 11:53:33 pm »
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Gotcha.

Also, I'm having difficulty interpreting this:
The distribution of X|Y=y is an exponential distribution with parameter y, α>0 where α is alpha.

So does that mean X|Y is distributed exp(y) or exp(α)? Is it even possible for X|Y to have distribution exp(y)?

kinslayer

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Re: UoM Maths Thread
« Reply #96 on: May 22, 2014, 12:45:07 am »
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Gotcha.

Also, I'm having difficulty interpreting this:
The distribution of X|Y=y is an exponential distribution with parameter y, α>0 where α is alpha.

So does that mean X|Y is distributed exp(y) or exp(α)? Is it even possible for X|Y to have distribution exp(y)?

That doesn't make much sense to me. If X|Y is exponentially distributed then it can have only one parameter by definition. It is possible for it to have parameter y, but in that case I don't know how α is relevant.

Is this from an assignment?

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Re: UoM Maths Thread
« Reply #97 on: May 22, 2014, 12:58:26 am »
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It's a question similar to one from an assignment, yes. So I can't post the full question.  ;D

But the extract I posted is the only information given in relation to the distribution of X|Y. It clearly states that the parameter of the exponential distribution X|Y is y, but then mentions α>0 at the end and α is not mentioned anywhere else in the question. Unless the α is a typo? Though that's probably unlikely.

kinslayer

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Re: UoM Maths Thread
« Reply #98 on: May 22, 2014, 01:07:35 am »
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It's a question similar to one from an assignment, yes. So I can't post the full question.  ;D

But the extract I posted is the only information given in relation to the distribution of X|Y. It clearly states that the parameter of the exponential distribution X|Y is y, but then mentions α>0 at the end and α is not mentioned anywhere else in the question. Unless the α is a typo? Though that's probably unlikely.

Probably a typo then. I assume it is meant to be y > 0. Maybe ask your tutor/lecturer.

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Re: UoM Maths Thread
« Reply #99 on: May 22, 2014, 01:21:02 am »
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Cheers. So if it was exp(y), the pdf of X|Y would be y*e^(-y^2)?

kinslayer

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Re: UoM Maths Thread
« Reply #100 on: May 22, 2014, 04:47:38 pm »
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Cheers. So if it was exp(y), the pdf of X|Y would be y*e^(-y^2)?

The pdf would be , x,y > 0 and , y > 0

edit: fixed typo, thanks
« Last Edit: May 22, 2014, 11:42:52 pm by kinslayer »

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Re: UoM Maths Thread
« Reply #101 on: May 22, 2014, 09:31:12 pm »
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Actually the pdf would be y*e^(-xy) right? And E[X|Y=y] = 1/y?

So if I I were to find E[X], how would I evaluate E[1/y]? If I knew the distribution of 1/Y, would E[1/y] = E[1/Y]? Thanks in advance.

kinslayer

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Re: UoM Maths Thread
« Reply #102 on: May 22, 2014, 11:47:05 pm »
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Actually the pdf would be y*e^(-xy) right? And E[X|Y=y] = 1/y?

So if I I were to find E[X], how would I evaluate E[1/y]? If I knew the distribution of 1/Y, would E[1/y] = E[1/Y]? Thanks in advance.

Yes you are quite right regarding the pdf. Regarding E[X], sorry I think I am losing you here. 1/y just a number, so E[1/y] should be 1/y. Without a more complete description of the problem I'm not sure I can help much further. I'm not an expert on this myself so I don't want to give you the wrong answer  :P
« Last Edit: May 22, 2014, 11:50:39 pm by kinslayer »

bonappler

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Re: UoM Maths Thread
« Reply #103 on: May 24, 2014, 03:08:16 pm »
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Has anyone done the practice MATLAB test for Lin Alg?

TrueTears

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Re: UoM Maths Thread
« Reply #104 on: May 24, 2014, 03:33:07 pm »
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It's a question similar to one from an assignment, yes. So I can't post the full question.  ;D

But the extract I posted is the only information given in relation to the distribution of X|Y. It clearly states that the parameter of the exponential distribution X|Y is y, but then mentions α>0 at the end and α is not mentioned anywhere else in the question. Unless the α is a typo? Though that's probably unlikely.
If the parameter of the exponential distribution is and the pdf is is conditional on the random variable , then this suggests to me that is most likely a parameter for the distribution of , but you mention is not used anywhere else in the question, then one can only conclude that it is irrelevant here.

Actually the pdf would be y*e^(-xy) right? And E[X|Y=y] = 1/y?

So if I I were to find E[X], how would I evaluate E[1/y]? If I knew the distribution of 1/Y, would E[1/y] = E[1/Y]? Thanks in advance.
The pdf is correct and the conditional expectation is correct. The rest of your statements don't make sense. , which is deterministic, however note that is a random variable and if you were trying to compute the expectation of this, then note that and you are done.

If you knew the distribution of , then you can easily compute the distribution of using transforms, which then you can easily compute the mean (either through MGFs, PGFs, or just by the definition itself)
« Last Edit: May 24, 2014, 03:37:20 pm by TrueTears »
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