Basic statistics - 07. The degrees of freedom - explained with a simple example

Basic statistics - 07. The degrees of freedom



Example 1:

If we would estimate the population standard deviation with the following formula the degrees of freedom is then equal to the total sample size -1. Because we first need to estimate the population mean value before we calculate the standard deviation.

Example 2:

let's consider a simple example suppose you would ask four individuals to pick a number you also tell the four individuals that the sum of their numbers must be equal to one hundred.

for example the first three persons pick the numbers ten thirty and twenty, the sum of these three numbers is sixty since the total sum of the four numbers must be equal to one the fourth person is not free to pick any number because the only number that is left to get the sum 100 is number 40.

now suppose the first three individuals have selected numbers 0 negative 10 and 20 this time the sum of these numbers is 10. the fourth person therefore has to select the number 90 because the four values should sum up to 100.

the degrees of freedom for this example is the sample size -1 which is 3 because the first three individuals are free to pick any number that they want whereas the last person must pick a specific numbers that the sum of the four values is always equal to 100 the last person is therefore not free to choose any number which explains why we subtract by one.

相关推荐
爱听歌的周童鞋16 天前
Steve Brunton | Probability Bootcamp | 笔记 | 第四部分:高级统计 | Lecture 40 | 矩母函数的可加性质
statistics·steve brunton·probability·mgf·additivity
爱听歌的周童鞋17 天前
Steve Brunton | Probability Bootcamp | 笔记 | 第三部分:高级概率 | Lecture 43 | 概率中的尾和公式
statistics·steve brunton·probability·tail sum·ccdf
爱听歌的周童鞋17 天前
Steve Brunton | Probability Bootcamp | 笔记 | 第四部分:高级统计 | Lecture 41 | 协方差与相关性
statistics·steve brunton·probability·covariance·correlation
爱听歌的周童鞋17 天前
Steve Brunton | Probability Bootcamp | 笔记 | 第四部分:高级统计 | Lecture 37 | 矩母函数
moments·statistics·steve brunton·probability·mgf
爱听歌的周童鞋17 天前
Steve Brunton | Probability Bootcamp | 笔记 | 第四部分:高级统计 | Lecture 35 | 大数定律
statistics·steve brunton·probability·lln·sample mean
青春不败 177-3266-052019 天前
基于R、Python的Copula变量相关性分析及AI大模型应用
人工智能·python·r语言·贝叶斯·统计学·copula
青春不败 177-3266-05201 个月前
R语言数据统计分析与ggplot2高级绘图
r语言·生态学·科研绘图·统计学·ggplot2·环境科学
爱听歌的周童鞋1 个月前
Steve Brunton | Probability Bootcamp | 笔记 | 第一部分:概率导论 | Lecture 8 | 条件概率
statistics·steve brunton·probability·conditionalprob
爱听歌的周童鞋1 个月前
Steve Brunton | Probability Bootcamp | 笔记 | 第一部分:概率导论 | Lecture 7 | 二项分布与多项分布
statistics·multinomial·steve brunton·probability·binomial
统计学小王子1 个月前
关于离散变量和连续变量的联合分布的一些讨论
统计学