ISLR_Propotion

逻辑

sampling variability CLT for propotions
sampling distribution

CLT for propotions and its condition

example

condations doesnt meet

a propotion
CI for a propotion
equation

example

require sample size

HT for a propotion
example

two propotions
estimate the difference using CI
example

estimate the difference using HT
pre work

example

small sample propotion
one propotion

two propotions

chi-square GOF test
goodness of fit

condition

test method

shape

example

p-value

chi-square independence test
example

causal

overview

逻辑

shift from numerical variable to categorical variable.

sampling variability & CLT for propotions

sampling distribution

CLT for propotions and its condition

example

condations doesn’t meet

condation不满足的话，sampling distribution不会那么的密集，因此会造成right skew或者left skew。

a propotion

CI for a propotion

equation

example

require sample size

HT for a propotion

example

two propotions

estimate the difference using CI

example

estimate the difference using HT

pre work

example

small sample propotion

one propotion

当数据量少的时候，许哟啊simulation。

two propotions

condition不满足的情况下使用simulation。

chi-square GOF test

one categorical variable, >2 levels。

goodness of fit

condition

test method

shape

example

p-value

chi-square independence test

前面解决的是是否有显著差异的问题。

这里解决的是独立性的问题。

example

causal

观察不是实验，可能被age等其他因素影响。

overview