Statistical approach to predicting success
I'm counting my failures. Here's an attempt to know how many times more I may fail before I succeed:
Consider this quote "Failure is a stepping stone to success". Now then, the most pertinent question is 'How many steps there are to success?'. Assuming that the number of steps is a random variable, a study on the distribution of this r.v will provide us the required answer. I'm thinking Poisson distribution would be a good assumption to test.
Ok. That's as far as my thought process goes. The sample data collection & the hypothesis testing is left for the readers to perform...Please let me know of the mean value.
p.s: If none of this makes any sense to you. Good. You're normal.
posted by Dinesh @ 7:07 PM
7 comments
7 Comments:
hmmm. chi squared tests? ANOVA?
Your theory of expectations cannot be applied to your scenario. Mainly bcoz I do not think you would find a big enough sample with the same background as yours.
Btw what made you think that the r.v would have a poisson distribution. I think thats what came to your mind on first thought.
But I know for sure that even if the probability turns out to be low you can still increases the chances of a positive out come by increasing the sample spaces (in this case the no of attempts or applications)
Thank you for the encouraging words Dinesh!
dei Dinks I want you to post that poem you wrote... rem the one u posted earlier and then removed??
Then, I am either forgetful or normal. :-)
//dei Dinks I want you to post that poem you wrote... rem the one u posted earlier and then removed??
One - That was not a poem. Two - Don't have that post anymore. Deleted it and now it's lost forever. Not sure what was so interesting about that anyway. Stop obsessing over it!
Dont think mean.. think Six Sigma.. ;)
Random Access
The search has just begun !!!
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