File:Convergence in distribution (sum of uniform rvs).gif

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Convergence_in_distribution_(sum_of_uniform_rvs).gif ‎(200 × 148 pixels, file size: 20 KB, MIME type: image/gif, looped, 9 frames, 12 s)

Summary

Z_n is a normalized sum of iid uniform random variables: Z_n = 1/√n Sum{U(-1,1): i=1,...,n}. The animation shows how the pdfs of Z_n converge to a normal N(0,⅓) random variable.

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Date/TimeThumbnailDimensionsUserComment
current20:30, 16 January 2017Thumbnail for version as of 20:30, 16 January 2017200 × 148 (20 KB)127.0.0.1 (talk)Z_n is a normalized sum of iid uniform random variables: Z_n = 1/√n Sum{U(-1,1): i=1,...,n}. The animation shows how the pdfs of Z_n converge to a normal N(0,⅓) random variable.
20:30, 16 January 2017Thumbnail for version as of 20:30, 16 January 2017200 × 148 (20 KB)127.0.0.1 (talk)Z_n is a normalized sum of iid uniform random variables: Z_n = 1/√n Sum{U(-1,1): i=1,...,n}. The animation shows how the pdfs of Z_n converge to a normal N(0,⅓) random variable.
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