Central Limit Theorem

Then, as n increases, the distribution of Zn converges in distribution to the standard normal distribution with mean 0 and variance 1.

It implies that for a large sample the sample mean has approximately the normal distribution with mean μ and variance σ2/n.

http://onlinestatbook.com/stat_sim/sampling_dist/index.html

• An applet that lets you define the population and then take multiple samples of different sizes to explore the behaviour of the Central Limit Theorem.

• infinity
• inflection
• information
• information theory
• inhomogeneous
• initial conditions
• initialize
• initial line
• initial value
• initial value problem
• injection
• inner product
• input
• inscribe
• inscribed circle
• insoluble
• instance
• instantaneous
• instantaneous code
• instrumental understanding
• integer
• integer factorization
• integer part
• integer programming
• integrable