October 2018
Beginner to intermediate
328 pages
7h 58m
Korean
Content preview from 데이터 과학을 위한 통계: 데이터 분석에서 머신러닝까지 50가지 핵심 개념
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85
2
장
데이터와 표본분포
• 측정의 정확도를 눈여겨볼 필요가 있는 엔지니어 분야에서는 다른 많은 분야들보다 신뢰구간을 자주 사용한
다. 톰 라이언
Tom
Ryan
이 쓴 『
Modern
Engineering
Statistics
』(
Wiley
,
2007
)은 신뢰구간에 대한 논의
를 담고 있다. 또한 유용성에 비해 관심을 별로 받지 못하는 예측구간 (평균 또는 다른 요약통계와는 다른, 단일
값 주위의 구간 )에 대해서도 다룬다.
2.6
정규분포
종 모양의
정규분포
normal
distribution
는 전통적인 통계의 상징이다.
3
표본통계량 분포가 보통 어떤
일정한 모양이 있다는 사실은 이 분포를 근사화하는 수학 공식을 개발하는 데 강력한 도구가
되었다.
용어 정리
•
오차
error
: 데이터 포인트와 예측값 혹은 평균 사이의 차이
•
표준화(정규화 )하다
standardize
: 평균을 빼고 표준편차로 나눈다.
•
z
점수
z
-
score
: 개별 데이터 포인트를 정규화한 결과
•
표준정규분포
standard
normal
distribution
: 평균=
0
, 표준편차=
1
인 정규분포
•
QQ
그림
QQ
-
plot
: 표본분포가 정규분포에 얼마나 가까운지를 보여주는 그림
정규분포(그림
2
-
10
)에서 데이터의
68
%는 평균의 표준편차 내에 속하며
95
%는 표준편차 두
배수 내에 있다.
CAUTION ...
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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.
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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.