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course 4.1.2.2

Probability Distributions

Features and properties of bernoulli, binomial, poisson, geometric, normal, and exponental distributions. Perl modules to generate probability density and cumulative values.

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Probability Distributions

Martin Krzywinski


0.00 0 count 4972 4972.00 0.49715 sum 0 0.00 0.00000
1.00 1 count 2561 7533.00 0.75322 sum 2561 2561.00 0.25882
2.00 2 count 1273 8806.00 0.88051 sum 2546 5107.00 0.51612
3.00 3 count 583 9389.00 0.93881 sum 1749 6856.00 0.69288
4.00 4 count 318 9707.00 0.97060 sum 1272 8128.00 0.82142
5.00 5 count 146 9853.00 0.98520 sum 730 8858.00 0.89520
6.00 6 count 68 9921.00 0.99200 sum 408 9266.00 0.93643
7.00 7 count 41 9962.00 0.99610 sum 287 9553.00 0.96544
8.00 8 count 17 9979.00 0.99780 sum 136 9689.00 0.97918
9.00 9 count 15 9994.00 0.99930 sum 135 9824.00 0.99282
10.00 10 count 6 10000.00 0.99990 sum 60 9884.00 0.99889
11.00 11 count 1 10001.00 1.00000 sum 11 9895.00 1.00000

2 | Probability Distributions | 4.1.2.2.2

4.1.2.2.2.c1 | cdf | Martin Krzywinski | code

4.1.2.2.2.c2 | cdf.txt | Martin Krzywinski | code

4.1.2.2.2.c3 | coin.txt | Martin Krzywinski | code

4.1.2.2.2.c4 | geometric | Martin Krzywinski | code

4.1.2.2.2.a1 | Probability Distributions | Martin Krzywinski | pdf

4.1.2.2.2.p1 | Probability Distributions | Martin Krzywinski | ppt

4.1.2.2.2.s1 | Probability Distributions | Martin Krzywinski | slides