June 2024
Beginner to intermediate
352 pages
9h 29m
Korean
Content preview from 개발자를 위한 필수 수학
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107
3
장
기술 통계와 추론 통계
for
i
in
range(0, 1000):
random_p
=
random.uniform(0.0,
1.0)
random_weight
=
norm.ppf(random_p,
loc=64.43,
scale=2.99)
print(random_weight)
물론 넘파이나 다른 라이브러리를 사용해 특정 분포를 따르는 난수를 생성할 수도 있습니다.
12
[예제
3
-
13
]은 역
CDF
가 유용한 한 가지 사례를 보여주기 위한 예제일 뿐입니다.
TIP
밑바닥부터
CDF
와 역
CDF
구현하기
파이썬에서
CDF
와 역
CDF
를 밑바닥부터 구현하는 방법을 배우려면 부록
A
.
5
절을 참조하세요.
3.4.7
z
점수
평균이
0
이고 표준 편차가
1
이 되도록 정규 분포의 크기를 재조정하는 것이 일반적입니다. 이
를
표준 정규 분포
standard
normal
distribution
라고 합니다. 이렇게 하면 평균과 분산이 다른 경우에도
정규 분포 간의 퍼짐 정도를 쉽게 비교할 수 있습니다.
표준 정규 분포에서 특히 중요한 것은 모든
x
값을 표준 편차, 즉
z
점수
z
score
로 표현한다는 점
입니다.
x
값을
z
점수로 변환하는 공식은 다음과 같습니다.
x
z
µ
σ
−
=
예를 들어보죠. 서로 다른 동네에 있는 주택 두 채가 있습니다.
A
동네의 평균 주택 가격은
140
,
000 ...
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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.