Skip to Main Content
Mathematica 錦囊妙計
book

Mathematica 錦囊妙計

by Sal Mangano
April 2014
Beginner to intermediate content levelBeginner to intermediate
830 pages
15h 21m
Chinese
GoTop Information, Inc.
Content preview from Mathematica 錦囊妙計
12.4 示範中央極限定理(Central Limit Theorem
|
463
12.4 示範中央極限定理(Central Limit Theorem
問題點
你想驗證中央極限定理(Central Limit TheoremCLT),或對學生展示該定理。
解決方案
中央極限定理指出,對任意統計分布而言,當樣本數量足夠大時,樣本平均數的統計分
布將趨近於常態分布。為了展示中央極限定理,你可以由非常態分布中取數量夠多的亂
數,並將其平均。以下使用均勻分布(uniform distribution)作為範例。[Page-465]
討論說明
述, 在《
Statistics in a Nutshell
中,
Boslaugh Watters 用簡單幾句話介紹:「中央極限定理所陳述的是,樣本平均數的抽
樣分布將近似於常態分 布,只 要數量夠大,對任何樣本統計分布均成 立(CLT states
that the sampling distribution of the sample mean approximates the normal distribution,
regardless of the distribution of the population from which samples are drawn, if the sample
size is sufficiently
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Ubuntu for Non-Geeks, 4th Edition

Ubuntu for Non-Geeks, 4th Edition

Rickford Grant, Phil Bull

Publisher Resources

ISBN: 9789863470106