Task1:1)12-26集 统计学基本知识、二项及泊松分布
2)27-34集 大数定律、正态分布
视频链接:http://open.163.com/special/Khan/khstatistics.html
参考博客:https://blog.csdn.net/ccnt_2012/article/details/81114920(泊松分布)
https://blog.csdn.net/hearthougan/article/details/77859173(样本方差)

12、Population and sample means
Datawhale-StatisticsTask1(Basic knowledge)
13、Population variance(population dispersions)
Datawhale-StatisticsTask1(Basic knowledge)
14、Sample variance
Datawhale-StatisticsTask1(Basic knowledge)
15、Standard variance
Datawhale-StatisticsTask1(Basic knowledge)
16、Some Variance formulas
Datawhale-StatisticsTask1(Basic knowledge)
17、Random variable(2 classes)
Datawhale-StatisticsTask1(Basic knowledge)
18、Probability density function(概率密度函数)
Datawhale-StatisticsTask1(Basic knowledge)
19/20、Binomial distribution1
概率计算公式:
Datawhale-StatisticsTask1(Basic knowledge)
21/22Binomial distribution2
Some examples
23、E(x)(exception)
E(x) = population means
24、E(x) of Binomial Distribution
Datawhale-StatisticsTask1(Basic knowledge)
25、Poisson distribution(Limit case of binomial distribution)
Datawhale-StatisticsTask1(Basic knowledge)
lamda表示单位时间内随机事件发生的次数
概率密度为:
Datawhale-StatisticsTask1(Basic knowledge)
证明:
由二项分布的期望E(x)=np=u,可得 p=u/n,则:
Datawhale-StatisticsTask1(Basic knowledge)
当n趋近于无穷大时计算该极限值:
Datawhale-StatisticsTask1(Basic knowledge)
所以,可得概率密度函数为:
Datawhale-StatisticsTask1(Basic knowledge)

未完待续…

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