Binomial Distribution -- from Wolfram MathWorld
SOLVED: The reason we impose the criteria of np ≥ 10 and n (1-p) ≥ 10 is so that the normal approximation is applied only to binomial distributions that are not severely
![SOLVED: Better binomial approximation The binomial distribution for X Bin( n.p) has E[X] np and Var(X) np(1 When n is large and is small we approximate this with the Poisson distribution. This is](https://cdn.numerade.com/ask_images/121487f96f4f43b3a35bbd965c7e5abc.jpg "SOLVED: Better binomial approximation The binomial distribution for X Bin( n.p) has E[X] np and Var(X) np(1 When n is large and is small we approximate this with the Poisson distribution. This is")
SOLVED: Better binomial approximation The binomial distribution for X Bin( n.p) has E[X] np and Var(X) np(1 When n is large and is small we approximate this with the Poisson distribution. This is
Skewness -- from Wolfram MathWorld
Binomial Distribution - ppt download
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Business Statistics Discrete Probability This lecture flows well with - ppt download
Binomial Distribution
Binomial distribution - Wikipedia
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Derive the mean and variance of the binomial distribution. - Sarthaks eConnect | Largest Online Education Community
Binomial Distribution
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Binomial Distribution -- from Wolfram MathWorld
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P = 0.10 n = 1400 np(1 – p) = 1400(0.10)(1 – 0.10) = 140(0.90) = 126 Since the sample size is less than 5% of the p
Checking assumption, nP and n(1-P) for calculated sample sizes | Download Table
