Binomial Distribution vs Poisson Distribution
Comparing:
The binomial distribution tends toward the Poisson distribution as 𝑛→∞, 𝑝→0, and 𝑛𝑝→constant≈𝜆.
The Poisson distribution with 𝜆=𝑛𝑝 closely approximates the binomial distribution if 𝑛 is large and 𝑝 is small.
Derive Poisson Formula From Binomial PMF
- 𝐏(𝑋=𝑥) = 𝑙𝑖𝑚𝑛→∞ [𝑛 choose 𝑥]𝑝𝑥(1 - 𝑝)𝑛-𝑥
- 𝐏(𝑋=𝑥) = 𝑙𝑖𝑚𝑛→∞ [𝑛!/(𝑥!(𝑛-𝑥)!]𝑝𝑥(1 - 𝑝)𝑛-𝑥 # by binomial coefficient
- 𝐏(𝑋=𝑥) = 𝑙𝑖𝑚𝑛→∞ [𝑛!/(𝑥!(𝑛-𝑥)!](𝜆/𝑛)𝑥(1 - (𝜆/𝑛))𝑛-𝑥 # 𝑝=𝜆/𝑛 when 𝑛→∞, 𝑝→0
- 𝐏(𝑋=𝑥) = 𝑙𝑖𝑚𝑛→∞ [𝑛!/(𝑥!(𝑛-𝑥)!](𝜆/𝑛)𝑥(1 - (𝜆/𝑛))𝑛(1 - (𝜆/𝑛))-𝑥 # by algebra
- 𝐏(𝑋=𝑥) = 𝑙𝑖𝑚𝑛→∞ [𝑛!/(𝑥!(𝑛-𝑥)!](𝜆/𝑛)𝑥𝑒-𝜆(1 - (𝜆/𝑛))-𝑥 # (1 - (𝜆/𝑛))𝑛 = 𝑒-𝜆 as 𝑛→∞, see number e (Euler's number)
- 𝐏(𝑋=𝑥) = 𝑙𝑖𝑚𝑛→∞ [𝑛!/(𝑥!(𝑛-𝑥)!](𝜆/𝑛)𝑥𝑒-𝜆(1 - (0))-𝑥 # 𝜆/𝑛 = 0 as 𝑛→∞
- 𝐏(𝑋=𝑥) = 𝑙𝑖𝑚𝑛→∞ [𝑛!/(𝑥!(𝑛-𝑥)!](𝜆𝑥/𝑛𝑥)𝑒-𝜆 # by algebra
- 𝐏(𝑋=𝑥) = 𝑙𝑖𝑚𝑛→∞ [𝑛!/(𝑛𝑥(𝑛-𝑥)!](𝜆𝑥/𝑥!)𝑒-𝜆 # by algebra
- 𝐏(𝑋=𝑥) = (𝜆𝑥/𝑥!)𝑒-𝜆 # 𝑙𝑖𝑚𝑛→∞ [𝑛!/(𝑛𝑥(𝑛-𝑥)!] = 1
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