Python: A/B testingを学ぶ ver. 1

Last Updated on March 28, 2021 by shibatau

I.何をする?

 

下のリンクで、Binomial distributionsを学んでいます。

 

Probability distributionを学ぶ

 

A/B testingで用いられますので、A/B testingについて次を参考に学びます。

 

A Simple Guide to A/B Testing in Python

 

II.The Simple One-Sample Hypothesis Test

 

りんごのサイズについての例を考えます。

地域の果樹園の赤りんごの大きさの平均が3.5インチ、標準偏差0.2インチだとします。

その地域のある赤りんご生産者が、より大きい赤りんごを生産したと主張した場合、その主張が正しいかどうかを検証します。

順をおって検証方法を考える前に、りんごの大きさのサンプルのグラフを示します。

 

https://colab.research.google.com/drive/1quj5u5y-guU1bxFX435nacr9fJzxoUpz?usp=sharing

 

順に解説します。

About shibatau

I was born and grown up in Kyoto. I studied western philosophy at the University and specialized in analytic philosophy, especially Ludwig Wittgenstein at the postgraduate school. I'm interested in new technology, especially machine learning and have been learning R language for two years and began to learn Python last summer. Listening toParamore, Sia, Amazarashi and MIyuki Nakajima. Favorite movies I've recently seen: "FREEHELD". Favorite actors and actresses: Anthony Hopkins, Denzel Washington, Ellen Page, Meryl Streep, Mia Wasikowska and Robert DeNiro. Favorite books: Fyodor Mikhailovich Dostoyevsky, "The Karamazov Brothers", Shinran, "Lamentations of Divergences". Favorite phrase: Salvation by Faith. Twitter: @shibatau

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