May 2023
Beginner to intermediate
400 pages
8h 35m
Korean
Content preview from 행동 데이터 분석
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238
PART 4
실험 설계와 분석
8.3
무작위 배정과 표본 크기/검정력
실험의 변화 이론을 구축하고 검증했다면 다음은 무작위 배정을 수행하는 방법과 필요한 표본
크기를 결정할 단계입니다.
필자의 경험에 따르면 특정 환경에서 실험을 처음 진행할 때 이 단계가 매우 중요합니다. 과거
데이터를 깊게 검토하면 실험을 재구성할 수 있는 놀라운 통찰력을 얻을 수 있습니다. 또한 데
이터의 잡음과 예상되는 영향의 크기 (실험에 대해 좁은 범위를 올바르게 정의했다면 크기가
작음 )에 따라 필요한 표본의 크기를 결정할 수 있습니다. 예상되는 영향의 크기를 잘못 판단한
경우 필요한 표본의 크기가 얼마나 큰지 확인하고 충격을 받을 수도 있습니다. 한 번은 필요한
표본의 크기가 지나치게 크게 나와서 이정도 크기면 거의
1
년 동안 실험을 해야 한다는 말을
들었던 경험이 있습니다.
8.3.1
무작위 배정
무작위 배정
random
assignment
이론은 굉장히 간단합니다. 고객이 관련 페이지에 도달할 때마다 특
정 확률로 페이지의 현재 버전(실험 용어로 대조군
control
group
)을 보여주고 나머지 확률로 원클
릭 예약 버튼이 있는 버전(실험군
treatment
group
, 실험처치
treatment
적용 )을 표시합니다.
가장 단순하게 확률을 나누자면 목표 표본 크기에 도달할 때까지
50
%-
50
%로 할당할 수 있지
만 트랜잭션 양이 매우 많은 경우 다른 확률로 분할할 수 있습니다. 예를 들어 하루에
1
억 번의
방문 횟수가 있는 웹사이트를 관리하고 있으며 ...
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and much more.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.