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除掉算术平均数以外
Besides arithmetic mean
第二个平均数就是调和平均数
there is another average called harmonic mean
大家注意调和平均数
Pay attention to this
它是把所有的变量值变量
Harmonic mean is the reciprocal of
进行倒数
the variables
就是x先倒一下 倒成1/x
It turns x into 1/x
倒数以后 完了以后
and then
进行算术平均
conducts the arithmetic mean calculation
平均完了以后再把它倒回去
And again find the reciprocal of the output
所以这个平均数叫做
Therefore, harmonic mean is
倒数平均数的倒数
the reciprocal of the arithmetic mean of the reciprocals
这个平均数呢 大家注意了
We should keep in mind that this mean
这个平均数 它在现实生活里面
in real life
不管是自然现象 社会现象
in both natural and social phenomena
还没有找到它自己的运用对象
has few chances for application
但是出现在这里
But here
它主要是用于
it is mainly used
因为统计资料给出来的时候
when special occasions
出现了
arise
就是特殊的情况下
in statistical information
用于计算算术平均数的
It is used to measure a form variety
一种变形而使用
of arithmetic mean
大家可以看看例子
Here is an example
如果大家去过菜市场
If you have ever been to the food market
就应该知道菜市场的蔬菜
you should be aware that price of vegetables
在不同时间段的价格
at the market
一般是不一样的
varies by time
早上的蔬菜一般最贵
with price in the morning being the highest
而晚上的蔬菜一般最便宜
and in the evening, the lowest
我们这里假设二妞的妈妈
Suppose, Er Niu’s mother
分别在早上 中午和晚上
spends 1 yuan, respectively,
花了一块钱
in the morning, at noon and in the evening
买下这一类蔬菜
on the same kind of vegetable
那么让我们来求一求
let us calculate
这一类蔬菜的平均价格
the average price of this vegetable
根据公式我们可以得到
Following the formula, we can get
变量值倒数分别为
the reciprocal of variable
1/x{\fs10}1{\r}=2.5
1/x{\fs10}1{\r}=2.5
1/x{\fs10}2{\r}=4
1/x{\fs10}2{\r}=4
1/x{\fs10}3{\r}=5
1/x{\fs10}3{\r}=5
然后我们再对这一变量值的倒数
Then we use the reciprocal of the variable
计算算术平均数
to calculate the arithmetic mean
最后再求这一算术平数的倒数
At last, we find the reciprocal of the arithmetic mean
也就是我们这里计算得到的H
H, the output of the calculation
等于(计算如上)
is equal to (see the calculation above)
最后得到一斤两毛六的平均价格
The average price is 0.26 yuan per jin
下面我们再来看一看
Now let us look at
加权调和平均数是如何计算的
how to calculate weighted harmonic mean
我们还是用刚刚举的例子
We use the same example
来进行演示
to show
同样还是二妞的妈妈
Suppose, Er Niu’s mother
在菜市场买这一类蔬菜
buys a vegetable at the food market
假设这一类蔬菜的价格仍然不变
Assume the price of the vegetable stays the same
只是二妞的妈妈
But Er Niu’s mother
在早上和中午所购买蔬菜的金额
spends different amount of money buying the vegetable
发生了变化
in the morning and at noon
下面让我们来看一看
Now let us look at
在这个例子中
in this case
这一类蔬菜的平均价格为多少
how much the average price of this vegetable is
这里我们使用
Here we use
加权调和平均数的公式来进行计算
the formula of weighted harmonic mean to calculate
也就是H等于(公式如上)
H is equal to (see the formula above)
(公式如上)
(see the formula above)
(计算如上)
(see the calculation above)
最后得到一斤三毛三的平均价格
and the average price is 0.33 yuan per jin
通过加权调和平均数的公式
By using the formula of weighted harmonic mean
我们可以看到
we can see
在这里m实际上是等于xf
m here is equal to xf
也就是购买这一类蔬菜的价格
which means the price of the vegetable
和数量相乘
multiplies the amount purchased
得到的就是购买这一类蔬菜
is equal to the actual amount of money
所花费的实际金额
spent on buying the vegetable
由此我们可以进一步得到一个结论
Therefore, we can draw the conclusion
也就是当m等于xf时将其代入
when we substitute xf with m of the same value
最后H等于x拔
H is equal to x bar
从这里我们可以看到
Here we can see
调和平均数它实际上是
harmonic mean is in fact
算术平均数的变形
a form of variety of arithmetic average
这是调和平均数
This is harmonic mean
再一个就是几何平均数
Another average is geometric mean
几何平均数的话
Geometric mean
它是n个变量的连乘积开n次方
is the nth root of the continued product of n numbers
这是简单几何平均数
This is simple geometric mean
那就是大家看到的G等于
as we can see G is equal to
(公式如上)
(see the formula above)
(公式如上)
(see the formula above)
这是简单的
This is the simple geometric mean
如果要加权
When weight is involved
它也存在着加权几何平均数
there is also weighted geometric mean
它是(公式如上)
it is (see the formula above)
(公式如上)
(see the formula above)
开根号是Σf次方
the square root means the power of Σf
这个是几何平均数
This is geometric mean
几何平均数在后面
We will focus on geometric mean
我们的时间序列里面的
in the lecture on consecutive average
动态平均数的时候会讲
in time series
比如说平均发展速度
Take average development speed for instance
它就要用几何平均数来进行计算
it needs to be measured by geometric mean
几何平均数使用的对象大家注意
We should keep in mind that the geometric mean
它使用的是比例平均 速度平均
can only be used
才能用几何平均数
to work with ratio and speed
下面我们来看一看
Now let us look at
几何平均数在实际中是如何运用的
how geometric mean is used in real life
如某流水生产线
Suppose there is an assembly line
有前后衔接的五道工序
with five steps in a working procedure
某日各工序产品的合格率分别为
The other day, the respective qualification ratio is
95% 92% 90%
95% 92% 90%
85% 和88%
85% and 88%
试求整个流水生产线产品的
try to figure out the average qualification ratio
平均合格率
of the whole assembly line
要求平均合格率
To calculate the average qualification ratio
就只能使用几何平均的方法
the geometric mean should be used
也就是(公式如上)
as in (formula above)
(公式如上)
(formula above)
等于(计算如上)
is equal to (calculation above)
也就是这一流水生产线产品的
and this is the average qualification ratio
平均合格率
of this assembly line
由此我们可以看到
We can see
几何平均数的计算
the application of geometric average
它是适用于反映特定现象的
is used to represent the average level
平均水平
of a certain phenomenon
也就是说反映现象的总体标志值
That is to say, the population mark total amount
是各单位标志值的连乘积
is the continued product of unit character value
所以当用于计算比率或速度的
Therefore, when calculating the average
平均数的时候
of ratio or speed
我们一般使用的是几何平均数
we prefer to use geometric mean
而不是算术平均数
instead of arithmetic mean
最后再给大家留一个问题
At today’s assignment, think about this question
如果上题中
If, in the case we just discussed
不是由五道连续作业的工序
rather than an assembly line
组成的流水生产线
of five steps of working procedure
而是五个独立作业的车间
it was five independent workshops
并且各车间的合格率
and the qualification ratios
和前面是相同的
remain the same
同时我们又假定
Meanwhile we assume
各车间的产量相等 都为100件
the yield of the workshops is the same, 100
那么我们来试着求一求
Try to figure out
该企业产品的平均合格率
the average qualification ratio of the factory
这三种平均数它在使用的时候
These three means are used
各有自己的对象
in different applications
或者叫特殊的场合
or on different occasions
这三个平均数如果在
In these three means, when
自然数的计算下
calculated with natural number
它应该是
it seems
调和平均数最小
the harmonic mean is the smallest
几何平均数次之
geometric is smaller
算术平均数是最大的
than arithmetic mean
下面我们来看一下
Now let us look at
这一结果的推导过程
the reasoning
假设有两个不等的数值
Suppose there are two range of values
x{\fs10}1{\r} x{\fs10}2{\r}
x{\fs10}1{\r} x{\fs10}2{\r},
那么(计算如上)
then (see calculation above)
它肯定是大于等于0
it must be greater or equal to 0
进一步变换可以得到
Further transformation shows
(计算如上)
(see the calculation above)
(计算如上)
(see the calculation above)
那我们当然知道
and we know
(计算如上)
(see the calculation above)
(计算如上)
(see the calculation above)
也就是几何平均数
it is a geometric mean
将这一公式继续变形
If the formula is transformed again
我们就可以得到
as we can see
(计算如上)
(see calculation above)
进一步变形可以得到
and after transformation we get
(计算如上)
(see calculation above)
那我们当然可以看到
we sure know
(公式如上)
(see the formula above)
实际上就是调和平均数
it is a harmonic mean
通过刚刚的论证过程
The reasoning above
我们可以得到x拔
helps us get the kind of relation
大于等于G 大于等于H
that is, x bar is greater or equal to G
这样的一种关系
and greater or equal to H
推广到有限的几个变量值
It is also valid if extended to
也同样成立
a limited number of variables
这三个平均数
We refer to the three means
其实我们统称为计算平均数
as numerical average
计算平均数怎么讲呢
Why do we call it numerical average
它就是说所有的x
It means all the x
就是x{\fs10}i{\r}中 i等于1到n
in x{\fs10}i{\r}, i is equal to 1 to n
n个变量值都加入到计算过程中来的
and N variables are averages
平均数
included in the calculation
所以它叫计算平均数
So, it is called numerical average
它有一个非常大的特点
A very obvious feature of this average
它不稳健
is that it is unstable
就是像刚才我们举的例子
As in the precious example
平均收入 平均消费支出
the average income and average spending
它会受极端值的影响
are affected by extreme values
所以这个大家要注意
We should keep this in mind
它不稳健
It is not stable
如果要稳健的那些平均指标的话
If we want to calculate a stable mean
那就是我们下面要讲的位置平均数
we need location average, which we will cover in our next lecture
-1.1 Applications in Business and Economics
--1.1.1 Statistics application: everywhere 统计应用:无处不在
-1.2 Data、Data Sources
--1.2.1 History of Statistical Practice: A Long Road 统计实践史:漫漫长路
-1.3 Descriptive Statistics
--1.3.1 History of Statistics: Learn from others 统计学科史:博采众长
--1.3.2 Homework 课后习题
-1.4 Statistical Inference
--1.4.1 Basic research methods: statistical tools 基本研究方法:统计的利器
--1.4.2 Homework课后习题
--1.4.3 Basic concepts: the cornerstone of statistics 基本概念:统计的基石
--1.4.4 Homework 课后习题
-1.5 Unit test 第一单元测试题
-2.1Summarizing Qualitative Data
--2.1.1 Statistical investigation: the sharp edge of mining raw ore 统计调查:挖掘原矿的利刃
-2.2Frequency Distribution
--2.2.1 Scheme design: a prelude to statistical survey 方案设计:统计调查的前奏
-2.3Relative Frequency Distribution
--2.3.1 Homework 课后习题
-2.4Bar Graph
--2.4.1 Homework 课后习题
-2.6 Unit 2 test 第二单元测试题
-Descriptive Statistics: Numerical Methods
-3.1Measures of Location
--3.1.1 Statistics grouping: from original ecology to systematization 统计分组:从原生态到系统化
--3.1.2 Homework 课后习题
-3.2Mean、Median、Mode
--3.2.2 Homework 课后习题
-3.3Percentiles
--3.3 .1 Statistics chart: show the best partner for data 统计图表:展现数据最佳拍档
--3.3.2 Homework 课后习题
-3.4Quartiles
--3.4.1 Calculating the average (1): Full expression of central tendency 计算平均数(一):集中趋势之充分表达
--3.4.2 Homework 课后习题
-3.5Measures of Variability
--3.5.1 Calculating the average (2): Full expression of central tendency 计算平均数(二):集中趋势之充分表达
--3.5.2 Homework 课后习题
-3.6Range、Interquartile Range、A.D、Variance
--3.6.1 Position average: a robust expression of central tendency 1 位置平均数:集中趋势之稳健表达1
--3.6.2 Homework 课后习题
-3.7Standard Deviation
--3.7.1 Position average: a robust expression of central tendency 2 位置平均数:集中趋势之稳健表达2
-3.8Coefficient of Variation
-3.9 unit 3 test 第三单元测试题
-4.1 The horizontal of time series
--4.1.1 Time series (1): The past, present and future of the indicator 时间序列 (一) :指标的过去现在未来
--4.1.2 Homework 课后习题
--4.1.3 Time series (2): The past, present and future of indicators 时间序列 (二) :指标的过去现在未来
--4.1.4 Homework 课后习题
--4.1.5 Level analysis: the basis of time series analysis 水平分析:时间数列分析的基础
--4.1.6Homework 课后习题
-4.2 The speed analysis of time series
--4.2.1 Speed analysis: relative changes in time series 速度分析:时间数列的相对变动
--4.2.2 Homework 课后习题
-4.3 The calculation of the chronological average
--4.3.1 Average development speed: horizontal method and cumulative method 平均发展速度:水平法和累积法
--4.3.2 Homework 课后习题
-4.4 The calculation of average rate of development and increase
--4.4.1 Analysis of Component Factors: Finding the Truth 构成因素分析:抽丝剥茧寻真相
--4.4.2 Homework 课后习题
-4.5 The secular trend analysis of time series
--4.5.1 Long-term trend determination, smoothing method 长期趋势测定,修匀法
--4.5.2 Homework 课后习题
--4.5.3 Long-term trend determination: equation method 长期趋势测定:方程法
--4.5.4 Homework 课后习题
-4.6 The season fluctuation analysis of time series
--4.6.1 Seasonal change analysis: the same period average method 季节变动分析:同期平均法
-4.7 Unit 4 test 第四单元测试题
-5.1 The Conception and Type of Statistical Index
--5.1.1 Index overview: definition and classification 指数概览:定义与分类
-5.2 Aggregate Index
--5.2.1 Comprehensive index: first comprehensive and then compare 综合指数:先综合后对比
-5.4 Aggregate Index System
--5.4.1 Comprehensive Index System 综合指数体系
-5.5 Transformative Aggregate Index (Mean value index)
--5.5.1 Average index: compare first and then comprehensive (1) 平均数指数:先对比后综合(一)
--5.5.2 Average index: compare first and then comprehensive (2) 平均数指数:先对比后综合(二)
-5.6 Average target index
--5.6.1 Average index index: first average and then compare 平均指标指数:先平均后对比
-5.7 Multi-factor Index System
--5.7.1 CPI Past and Present CPI 前世今生
-5.8 Economic Index in Reality
--5.8.1 Stock Price Index: Big Family 股票价格指数:大家庭
-5.9 Unit 5 test 第五单元测试题
-Sampling and sampling distribution
-6.1The binomial distribution
--6.1.1 Sampling survey: definition and several groups of concepts 抽样调查:定义与几组概念
-6.2The geometric distribution
--6.2.1 Probability sampling: common organizational forms 概率抽样:常用组织形式
-6.3The t-distribution
--6.3.1 Non-probability sampling: commonly used sampling methods 非概率抽样:常用抽取方法
-6.4The normal distribution
--6.4.1 Common probability distributions: basic characterization of random variables 常见概率分布:随机变量的基本刻画
-6.5Using the normal table
--6.5.1 Sampling distribution: the cornerstone of sampling inference theory 抽样分布:抽样推断理论的基石
-6.9 Unit 6 test 第六单元测试题
-7.1Properties of point estimates: bias and variability
--7.1.1 Point estimation: methods and applications 点估计:方法与应用
-7.2Logic of confidence intervals
--7.2.1 Estimation: Selection and Evaluation 估计量:选择与评价
-7.3Meaning of confidence level
--7.3.1 Interval estimation: basic principles (1) 区间估计:基本原理(一)
--7.3.2 Interval estimation: basic principles (2) 区间估计:基本原理(二)
-7.4Confidence interval for a population proportion
--7.4.1 Interval estimation of the mean: large sample case 均值的区间估计:大样本情形
--7.4.2 Interval estimation of the mean: small sample case 均值的区间估计:小样本情形
-7.5Confidence interval for a population mean
--7.5.1 Interval estimation of the mean: small sample case 区间估计:总体比例和方差
-7.6Finding sample size
--7.6.1 Determination of sample size: a prelude to sampling (1) 样本容量的确定:抽样的前奏(一)
--7.6.2 Determination of sample size: a prelude to sampling (2) 样本容量的确定:抽样的前奏(二)
-7.7 Unit 7 Test 第七单元测试题
-8.1Forming hypotheses
--8.1.1 Hypothesis testing: proposing hypotheses 假设检验:提出假设
-8.2Logic of hypothesis testing
--8.2.1 Hypothesis testing: basic ideas 假设检验:基本思想
-8.3Type I and Type II errors
--8.3.1 Hypothesis testing: basic steps 假设检验:基本步骤
-8.4Test statistics and p-values 、Two-sided tests
--8.4.1 Example analysis: single population mean test 例题解析:单个总体均值检验
-8.5Hypothesis test for a population mean
--8.5.1 Analysis of examples of individual population proportion and variance test 例题分析 单个总体比例及方差检验
-8.6Hypothesis test for a population proportion
--8.6.1 P value: another test criterion P值:另一个检验准则
-8.7 Unit 8 test 第八单元测试题
-Correlation and regression analysis
-9.1Correlative relations
--9.1.1 Correlation analysis: exploring the connection of things 相关分析:初探事物联系
--9.1.2 Correlation coefficient: quantify the degree of correlation 相关系数:量化相关程度
-9.2The description of regression equation
--9.2.1 Regression Analysis: Application at a Glance 回归分析:应用一瞥
-9.3Fit the regression equation
--9.3.1 Regression analysis: equation establishment 回归分析:方程建立
-9.4Correlative relations of determination
--9.4.1 Regression analysis: basic ideas
--9.4.2 Regression analysis: coefficient estimation 回归分析:系数估计
-9.5The application of regression equation