(Brian Thomas rhea hw5. I aplogize that this is a few hours past due.)
 
m
 
Line 5: Line 5:
 
<math>X_i</math> is geom<math>(\frac{n - i + 1}{n})</math>
 
<math>X_i</math> is geom<math>(\frac{n - i + 1}{n})</math>
  
E[# needed]=<math>\sum_{i=1}^n E[Xi] = \sum_{i=1}^n \frac{n - i + 1}{n}</math>
+
E[# needed]=<math>\sum_{i=1}^n E[Xi] = \sum_{i=1}^n \frac{n}{n - i + 1}</math>
  
 
I attempted to plug this into matlab's symbolic calculator, but the answer didn't come out to anything I understood.
 
I attempted to plug this into matlab's symbolic calculator, but the answer didn't come out to anything I understood.
  
 
Also, note for geom(p), variance is <math>\frac{1-p}{p^2}</math>.  I don't think we can simply add all the variances up; does anybody have a better idea?
 
Also, note for geom(p), variance is <math>\frac{1-p}{p^2}</math>.  I don't think we can simply add all the variances up; does anybody have a better idea?

Latest revision as of 18:25, 6 October 2008

Virgil -- I don't see you contributing anything useful. Please use the wiki to help others along with the problems instead of complaining.

In addition, to Henry: I agree with your idea and your conclusion. We can expand a small amount from your idea by generalizing the forumla for $ X_i $:

$ X_i $ is geom$ (\frac{n - i + 1}{n}) $

E[# needed]=$ \sum_{i=1}^n E[Xi] = \sum_{i=1}^n \frac{n}{n - i + 1} $

I attempted to plug this into matlab's symbolic calculator, but the answer didn't come out to anything I understood.

Also, note for geom(p), variance is $ \frac{1-p}{p^2} $. I don't think we can simply add all the variances up; does anybody have a better idea?

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