Simplified C.D.F. Formula: Get the Answer Now!

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SUMMARY

The discussion focuses on deriving a simplified cumulative distribution function (c.d.f.) formula, specifically F(n) = P ≤ n. The participants utilize the geometric series sum formula, \sum_{k=0}^{n}r^k=\frac{1-r^{n+1}}{1-r}, and the probability mass function p(n)=\alpha (1-\alpha)^n. The final simplified expression derived is (1-\alpha)^{n+1}, confirming the correctness of the simplification process.

PREREQUISITES
  • Understanding of cumulative distribution functions (c.d.f.)
  • Familiarity with geometric series and their summation
  • Knowledge of probability mass functions, specifically p(n)=\alpha (1-\alpha)^n
  • Basic algebraic manipulation skills
NEXT STEPS
  • Study the properties of cumulative distribution functions (c.d.f.) in probability theory
  • Learn about geometric series and their applications in statistics
  • Explore the derivation of probability mass functions in discrete distributions
  • Investigate advanced algebraic techniques for simplifying complex expressions
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Mathematicians, statisticians, and students studying probability theory who seek to understand the derivation and simplification of cumulative distribution functions.

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Derive a simplified formula for the c.d.f., F(n) = (P [tex]\leq[/tex] n), using:

[tex]\sum_{k=0}^{n}r^k=\frac{1-r^{n+1}}{1-r}[/tex]


[tex]p(n)=\alpha (1-\alpha)^n[/tex]

[tex]\alpha \sum_{k=0}^{n}r^k=\frac{1-(1-\alpha)^{n+1}}{1-(1-\alpha)}[/tex]

How do I break this down to a simplified version?
 
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Alright, I may have figured this out hopefully...

[tex] \alpha \sum_{k=0}^{n}r^k=\frac{1-(1-\alpha)^{n+1}}{1-(1-\alpha)} [/tex]

[tex] \alpha \frac{1-(1-\alpha)^{n+1}}{1-(1-\alpha)} [/tex]


[tex] \alpha \frac{-(1-\alpha)^{n+1}}{-1+\alpha} [/tex]

Is this right?


[tex] \frac{-(1-\alpha)^{n+1}}{-1} [/tex]


[tex] (1-\alpha)^{n+1}[/tex]
 

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