Finding moment generating functions

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Homework Help Overview

The discussion revolves around finding moment generating functions in the context of a binomial distribution. Participants are examining the probabilities associated with coin tosses and how these relate to the moment generating function.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the definition of the probability p in relation to coin tosses, questioning its value and its implications on the moment generating function. There are attempts to clarify the mathematical steps involved in deriving the moment generating function from the binomial expansion.

Discussion Status

The discussion is active, with participants providing feedback on each other's reasoning and calculations. Some guidance has been offered regarding the correct interpretation of probabilities, and there is an ongoing exploration of the mathematical expressions involved.

Contextual Notes

There are indications of confusion regarding the assignment of probabilities and the definitions used in the calculations. Participants are also addressing potential errors in their mathematical reasoning and the implications of these errors on their results.

DODGEVIPER13
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The Attempt at a Solution


Well I believe it to be Binomial as the probabilities never change. So I used it to solve for the moment generating function, I do howvere want to know if what I have done is correct and also how I went from sigma((Pe^t)^y(n y)q^(n-y)) as the book did this?
 

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Isn't p the probability of one head in one toss? How is it 0.75?
 
Ok so p should be .50 but does my work look ok other than that and the obvious mathematical error due to that on the second part
 
After the final sigma part like I asked above how do I arrive at the moment generating function like I did?
 
In the third line of part 2, you've written E[Y] = M'(t) by mistake for M'(0).
In the next line, you've left something out when applying the product rule to get M''.
 
DODGEVIPER13 said:
After the final sigma part like I asked above how do I arrive at the moment generating function like I did?
It's just the binomial expansion (run in reverse).
 
Ok a bit lost on what was wrong with m" it looks right to me hmmm where should I look
 
DODGEVIPER13 said:
Ok a bit lost on what was wrong with m" it looks right to me hmmm where should I look
Looks like I need to take a break. You're quite right, and the rest of your work looks good too.
 
Ok so should I change p to .5 and q to .5 and I wind up with 1.5
 
  • #10
I changed p from .75 to .5 as you said
 
  • #11
Also for the first part I now have (.50e^t+.50)^2
 
  • #12
All good.
 
  • #13
Wait why is p what you said should I not also include the probability that you flip a head and head thus making it .75
 
  • #14
When you say all good was it all good before or all good now?
 
  • #15
When you wrote the first two lines of your solution, what were you defining p to be? What do you get if you set n=2 and write out the sum in the second line?
You showed E[Y] = np. If n=2 and p=.75, would you really expect an average of 1.5 heads in two tosses?
 
  • #16
I was defining p to be the possible heads observed by the 2 flips and to the final question no I would not so I guess what I have changed it to is correct
 
  • #17
DODGEVIPER13 said:
I was defining p to be the possible heads observed by the 2 flips
But p is a probability, not a number of heads. If you wanted to approach it that way you'd need three probabilities: 0, 1 or 2 heads.
 
  • #18
Ah ok got it now thanks so the way I have it now is correct
 
  • #19
DODGEVIPER13 said:
Ah ok got it now thanks so the way I have it now is correct

Yes.
 

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