当前课程知识点:Learn Statistics with Ease > Chapter 5 Statistical Index > 5.4 Aggregate Index System > 5.4.1 Comprehensive Index System 综合指数体系
返回《Learn Statistics with Ease》慕课在线视频课程列表
返回《Learn Statistics with Ease》慕课在线视频列表
同学们大家好
Hello, everyone
接下来我们学习指数第三讲的内容
Now let's begin the third lesson about indexes
综合指数体系
-- Composite Index System
在这一讲里面我们会学习
In this lesson, we will learn
指数体系的定义
the definition of index system
以及综合指数体系的应用两大内容
and the application of composite index system
首先我们来看一下
First of all, let's take a look at
综合指数体系的定义
the definition of composite index system
一般来讲指数体系
Generally speaking, an index system
是指在经济上有联系
refers to the whole composed of
在数量上存在着对等关系的三个
three or more indexes
或者三个以上的指数
that are economically related
所构成的整体
and quantitatively equivalent
由于我们前面介绍的指数算法
For the exponentiation algorithm we introduced earlier
是用综合指数
is based on composite indexes
所以我们前面加了两个字
so we add a word to it
综合指数体系
-- Composite Index System
当然如果我们指数的算法变了
Of course, if our exponentiation algorithm changes
指数体系它仍然也还是成立的
The index system is still satisfied
比如经济上的联系
like the economic connection
通常可能在我们其它的课程
Usually, in our other courses
或者其它的原理里边
or other principles
比如我们现在所看到的
As we see now
销售额等于销售量乘以销售价格
Sales Amount = Sales Volume × Sales Price
这是一个最简单的
This is the simplest
这三个指标之间的联系
relationship among the three indexes
第二个例子
Take another example
工业总产值等于产品产量
Gross Industrial Output Value = Product Output
乘以出厂价格
× Ex-factory Price
这个我们在学工业方面的知识的时候
When we are learning about the industry
也经常会学到这个
we often meet that
还有比如农作物产量等于
In addition, for example, Crop Yield is equal to
播种面积乘以单位面积产量
Sown Area × Yield/Unit Area
这些式子都反映了这些指标之间
These formulas reflect
存在的经济上的联系
the economic connection among these indexes
第二 我们的指数体系
Second, our index system
还存在着数量上的对等关系
is also quantitatively equivalent
它有哪些数量上的对等关系呢
What are its quantitative equivalences
第一个 相对数上面的对等关系
The first one is the equivalence in relative quantity
这个式子里边的三个指数
Three indexes in this formula
我们能分得出来吗
can we tell them
对了 左边一个p和q的时间
By the way, P and Q on the left
同时都在变动
are changing simultaneously
这就是总变动指数了
This is a general change index
右边这两个指数
Then, the two indexes on the right
第一个是(公式如上)
The first one is (formula as above)
这是拉氏指数还是帕氏指数
Is it a Laspeyres index or a Paasche index
如果同学们立马就回答出来
If you answer right away
它是拉氏指数的话
that it's a Laspeyres index
说明我们上一讲的内容
it shows what I taught last time
学的还挺牢固
has been learned well
对了 这个是同度量因素
By the way, it is an isometric factor
被固定在基期对不对
It is fixed in the base period, isn't it
那它当然是一个拉氏指数
So, of course, it's a Laspeyres index
它是一个数量指标指数
A quantitative index
K{\fs8}q{\r}bar对不对
K{\fs8}q{\r}bar, right
那当然后面这个就是
Well, of course, the second one
帕氏的价格指数了
is a Paasche price index
从这个指数的构造上来看
From the structure of this index
我们很快也发现
we can find out soon
拉氏指数的分子∑q{\fs8}1{\r}p{\fs8}0{\r}
whether ∑q{\fs8}1{\r}p{\fs8}0{\r}, serving as molecule of Laspeyres index
和帕氏指数的分母∑p{\fs8}0{\r}q{\fs8}1{\r}
and ∑p{\fs8}0{\r}q{\fs8}1{\r}, serving as denominator of Paasche index
是不是完全相同
are identical
对了 它们不是可以约去嘛
By the way, they can be divided out
那右边这两个指数合并以后
After the two indexes on the right are combined
不就剩下(公式如上)
the rest (formula as above)
所以指数
So indexes
总变动指数和数量指标指数
That is, general change index, the quantity index
以及质量指标指数之间
and quality index
一定存在这个相对数上的对等关系
must be equivalent in relative quantity
而在绝对数上面
On the absolute number
同样地它也会存在一个对等关系
similarly, they will also be equivalent
也就是说(公式如上)
that is to say (formula as above)
报告期减去基期
Report Period - Base Period
(公式如上)
(Formula as above)
也是用报告期减去基期
also Report Period - Base Period
(公式如上)
(formula as above)
同样地拉氏指数里边的∑q{\fs8}1{\r}p{\fs8}0{\r}
Similarly, ∑q{\fs8}1{\r}p{\fs8}0{\r} of the Laspeyres index
和帕氏指数里边的∑p{\fs8}0{\r}q{\fs8}1{\r}
and ∑p{\fs8}0{\r}q{\fs8}1{\r} of the Paasche index
是同一个组合
are in the same combination
也是可以被约去的
So they can be divided out too
剩下的依然是(公式如上)
The rest is still (formula as above)
这个是从指数的构造上面
This is a relationship
直接可以看出来的关系
that can be seen directly from the structure of indexes
因此任意的三个指标
So for any three indexes
只要它们在经济上能形成
as long as they can form
像刚才那样的数据关系
the data connection economically like that
它们的指数一定具有这两个等量关系
they must have these two equivalences
这就是我们通常说的指数体系
This is the index system what we usually call
那有了这个指数体系
Then with this index system
它可以帮助我们做什么呢
what we can do
好 接下来我们就来看一下
Well, then let's take a look at
指数体系的应用
the application of index system
它第一个最重要的应用
Its first most important application
就是帮助我们对某一个总指标的变动
is to help us, for the change of a certain general index
来进行因素的分解
decompose factors
比如在前面一讲综合指数编制里边
For example, in the first lesson about composite index compilation
我们分析天猫商城双十二
when we were analyzing the changes in Tmall’s turnovers
和双十一的营业额的变动的时候
on November 11 and December 12
那么就可以利用指数体系
then we can use the index system
来帮助我们分别分析营业额的变动
to help us analyze the changes in turnovers separately
受销售量的变动
How are they effected
带来了多少影响
by the changes in sale volume
受销售价格的变动带来了多少影响
How are they affected by the changes in sales prices
那接下来我就给大家
Next, I'll make
详细地来介绍一下
a detailed introduction to you
因素分析的具体步骤
As for specific steps of factor analysis
一般我们可以按照先左后右
generally, we can follow the principle of "from left to right"
先相对数后绝对数的方法
from relative quantity to absolute quantity
来进行指数体系的运用
to use the index system
先左 那就意味着我们先要了解
Starting from left, it means that we must understand
总变动的情况
the general change first
我们还是使用上一节天猫双十二
We still take the comparison of Tmall’s turnovers
和双十一比较的例子
on November 11 and December 12 that I said last time for example
那先左就意味着我们先要计算
So it means we have to calculate
K{\fs8}pq{\r}bar
K{\fs8}pq{\r}bar first
K{\fs8}pq{\r}bar用报告期的营业额
K{\fs8}pq{\r}bar, Turnover in the Report Period
除以基期的营业额
÷ Turnover in the Base Period
(公式如上)
(formula as above)
上一次计算的结果是88.05%
The result of last calculation is 88.05%
那对应的(公式如上)
that corresponds to (formula as above)
代表的是绝对量的变动
or represents the change of absolute quantity
报告期的营业额减去基期的营业额
Turnover in the Report Period - Turnover in the Base Period
它的绝对量的变动是
Its absolute quantity is
减少了295718元
reduced by 295,718 yuan
那么它的营业额减少了295718元
and then its turnover is reduced by 295,718 yuan
是由销售量和销售价格
How is it separately affected
分别带来了多少呢
by the change in sales volume and the change in sales prices
我们接下来可以进一步地计算
Next, we can further calculate
销售量指数和销售价格指数
sales volume index and sales price index
首先我们来计算销售量总指数
First of all, let's calculate the general sales volume index
按照我们前面的学习
According to our previous study
销售量总指数
the general sales volume index
是采用拉氏指数的方法来计算
is calculated as a Laspeyres index
那我们就用(公式如上)的方式
Then by such method (formula as above)
计算的结果是91.38
the result of calculation is 91.38
91.38%
那销售量减少了8.62%
This shows a 8.62% decrease in sales volume
由于销售量下降
The decrease in sales volume
使得销售额减少了213268元
leads to a reduction of 213,268 yuan in sales amount
销售价格又发生了怎样的变化呢
Then how sales prices change
那销售价格我们采用的是
Sales prices are
帕氏价格指数
based on Paasche index
(公式如上)
(formula as above)
计算的结果是96.35%
The result of calculation is 96.35%
价格下跌了3.65%
Prices fall by 3.65%
那么由于价格下跌
Then prices falling
使得营业额减少了82450元
leads to a reduction of 82,450 yuan in turnover
这三个数字
These three numbers
如果我们不去验证的话
if we don't test them
一下子是发现不了
we can't find all of a sudden
它们存在的数量上的联系
the quantitative connection among them
同学们 如果你手边正好有计算器
Students, if you just have a calculator on hand
当然也可以打开Excel
of course, you can also open Excel
我们不妨把相对数用Excel去换算
we may as well use Excel to convert both relative quantities
把绝对数也放到Excel里边去运算
and absolute quantity
我们会发现刚才我们前面说的
We'll find
两个数量上的对等关系
the two quantitative equivalences that we said earlier
相对数上88.05%
In terms of relative quantity, 88.05%
恰好会等于91.38%×96.35%
= 91.38% × 96.35%
而从绝对数上面来看
In terms of absolute quantity
负的295718元
- 295,718 yuan
正好也会等于负的213268元
= 213,268 yuan
加上负的82450元
+ - 82,450 yuan
这就形成了数量上的两个对等关系
This forms two quantitative equivalences
当然 有了这两个对等关系
Of course, with these two equivalences
我们就可以将营业额的变动
we can decompose the change in turnover
分解为销售量和销售价格
into the change brought about by sales volume
所带来的变动
and the change brought about by sales prices
那么接下来我们就对刚才的这些数字
Next, let's look at these numbers that we said just now
来进行一个文字上的解释
and make a literal explanation of them
文字可以由你自由来组织
You can organize the words freely
只要把这个事情说清楚了就可以
Just make the thing clear
比如我可能会这样说
For example, I may say it like this
总体上看 天猫(5种商品)双十二和双十一相比
On the whole, compared with that on November 11, the turnover of Tmall (five commodities) on December 12
营业额下降了11.95%
dropped by 11.95%
减少了295718元
295,718 yuan
其中销售量报告期和基期相比
Compared with that in the base period
减少了8.62%
the sales volume in the report period dropped by 8.62%
使销售额减少了213268元
thus leading to a reduction of 213,268 yuan in sales amount
由于价格报告期和基期
Because the prices in the report period and base period
综合下降了3.65%
dropped by 3.65% in total
使得销售额减少了82450元
the sales amount decreased by 82,450 yuan
这样我们就完成了整个体系的分析
In this way, we finish the analysis of the whole system
我们就知道销售额或者营业额的变动
We know about the change in sales amount or turnover
由销售量带来的影响
the impact of sales volume
是213268元
is 213,268 yuan
而由于价格变动所带来的影响是
and the impact of prices is
减少了82450元
- 82,450 yuan
整个过程就非常地思路清晰
The whole process is very clear
那我们在具体地遇到
Then when we meet
指数分析的题目的时候
a specific question about index analysis
都可以参照我刚才前面的做法来分解
We can decompose factors following the way I just did
一步一步的来进行运算
and calculate them step by step
我们可以再回顾一下
Now let's review the above
计算的过程是先左后右
the calculation proceeds from left to right
先相对数后绝对数
from relative quantity to absolute quantity
左边对应的是总变动
The left corresponds to the general change
右边对应的是它的因素的变动
The right corresponds to
所带来的影响
the impact brought about by the change of its factors
当然在计算右边这两个指数的时候
Of course, when we calculate the two indexes on the right
K{\fs8}q{\r}bar K{\fs8}p{\r}bar
哪一个在前 哪一个在后
which one will come before the other
这个无关影响
is irrespective
当然你主要要注意的是
Of course, the main thing you should pay attention to is
206he
00:09:49,185 --> 00:09:50,656
如果是数量指标指数
If it's a quantity index
一定选择拉氏指数的算法
we must select the algorithm of Laspeyres index
而如果是价格指数
and if it's a price index
我们一般选择的是帕氏指数的算法
we usually select the algorithm of Paasche index
这是我们一般的原则
This is our general principle
当然并不是说如果我的数量指标指数
Of course, it doesn't mean that it must be wrong
选择了帕氏的做法
If we select the algorithm of Paasche index
它就一定是错的
for a quantity index
其实从理论上来讲
In fact, in theory
它也不一定就是错的
it's not necessarily wrong
只不过从它的意义上面来分析
Just as a matter of meaning
它的含义可能不如拉氏指数
its meaning may not be as realistic
那么符合现实
as that of Laspeyres index
而帕氏指数计算价格指数
While, for a price index, Paasche index
刚才我们也分析它
as we analyzed just now
更符合实际的经济意义
is of more practical economic significance
而拉氏的价格指数相比较而言
In comparison
它的经济意义可能要更弱一些
Laspeyres index may be of weaker economic significance
好 这是利用指数体系
Well, this is the process of factor analysis
来进行因素分析的过程
Based on the index system
那接下来给大家准备了
then I will assign
一个小小的练习
a small exercise to you
让大家把刚才前面学过的知识
to consolidate
稍稍地巩固一下
what you have just learned to some degree
题目很简单
The question is very simple
大家可以拿出纸和笔
You can take out the paper and pen
来把刚才我们学习的
to consolidate the process of factor analysis
因素分析的过程巩固一下
that we have just learned
好 同学们
OK, students
我们继续回到课堂
Let's go back to class
来看一看你们计算的结果
to check whether the results of your calculation
和我的下面的解析过程
are same as
是不是一样的
my following analysis process
如果有哪里不同
If there's any difference
你一定要注意
you must pay attention
第一步我们要做的工作是
the first step we should do is
先分析题目里边这几个数字
to analyze the numbers in the question
然后用相应的符号去表达它们
and then we should use corresponding symbols to express them
比如第一个数字
For example, the first number
8600万元 它是什么
86 million yuan, what is it
它是基期的社会商品零售额
It is the retail sales amount of social goods in the base period
那我们应该用∑p{\fs8}0{\r}q{\fs8}0{\r}代表它
Then we should use ∑p{\fs8}0{\r}q{\fs8}0{\r} to represent i
对不对
right
你写对了没有
Did you answer like this
第二个数字
The second number
12890万元 它是报告期的
128.9 million yuan,in the report period
社会商品零售额
it's the retail sales amount of social goods
那我们对应的符号就应该是∑p{\fs8}1{\r}q{\fs8}1{\r}
Then its corresponding symbol should be ∑p{\fs8}1{\r}q{\fs8}1{\r}
同学们一定要注意
Students, you must pay attention to
前面的∑这个符号
the front symbol ∑
求和的这个符号千万不能忘掉了
This symbol of summation must not be forgotten
一定要加进去
It must be added
第三个数字
The third number
也就是零售物价上涨15%
that is, a 15% retail price increase
那么就告诉我们物价的变动情况
This tells us about the price change
它对应的是物价的综合变动对不对
It corresponds to the general price change, right
所以它的符号应该是大写的(字符如上)
So its symbol should be uppercase (as above)
而不是写小写的k{\fs8}p{\r}
instead of lowercase k{\fs8}p{\r}
这个地方一定要注意
You must pay attention to this
把这三个数字先表达完了
After expressing these three numbers
接下来我们可以利用前面介绍的
then we can use the previous
因素分析的步骤
steps of factor analysis
先左后右 先相对数后绝对数的过程
-- the process from left to right, from relative quantity to absolute quantity
来把这个题目进行分析
to analyze the question
首先第一个来计算
First of all, we should calculate
零售额总指数(公式如上)
The general retail sales amount index (formula as above)
p{\fs8}1{\r}q{\fs8}1{\r}的和我们刚才已经说过
p{\fs8}1{\r}q{\fs8}1{\r} and what we have just said
是12890万元
128.9 million yuan
而∑p{\fs8}0{\r}q{\fs8}0{\r}=8600万元
and ∑p{\fs8}0{\r}q{\fs8}0{\r}=86 million yuan
分子除以分母
Numerator ÷ denominator
等于149.88%
is equal to 149.88%
那报告期和基期相比
Compared with the base period
零售额变动了多少呢
what is the change in retail sales amount
那用(公式如上)
Then we use (formula as above)
等于4290万元
= 42.9 million yuan
增加了4290万元
an increase of 42.9 million yuan
那社会商品零售额增加了
Of the increase in retail sales amount of social goods
由物价上涨带来多少
how much is brought about by rising prices
由销售量的变动又带来多少呢
and How much is brought about by the change in sales volume
所以我们接下来就进行因素的分解
Next, let's decompose factors
首先零售物价指数
At first, the retail price index
K{\fs8}p{\r}bar已经告诉我们
K{\fs8}p{\r}bar is known
等于15%对不对
15%, right
那是上涨了15%也就意味着
That's a 15% increase, which means
它的指数是等于115%对不对
its index is 115%, right
所以这个地方我们一定要注意
So we must pay attention to this
那K{\fs8}p{\r}bar它是用什么算法呢
What algorithm should we use for K{\fs8}p{\r}bar
回顾一下我们前面
Just review what we have learned earlier
帕氏指数对不对
Paasche index, right
那就写成(公式如上)
Then write it as (formula as above)
等于115%
= 115%
那有了这个式子
That's the formula
我们已知∑p{\fs8}1{\r}q{\fs8}1{\r}=12890万元
We know that ∑p{\fs8}1{\r}q{\fs8}1{\r}=128.9 million yuan
就可以推算出分母∑p{\fs8}0{\r}q{\fs8}1{\r}
so we can calculate denominator ∑p{\fs8}0{\r}q{\fs8}1{\r}
是等于11209万元
= 112.09 million yuan
这一步非常重要
This step is very important
不知道有多少同学在草稿纸上
I don't know how many students
是按照和我一样的步骤
follow the same steps as I took on the draft paper
推算了∑p{\fs8}0{\r}q{\fs8}1{\r}=11209万元
to calculate ∑p{\fs8}0{\r}q{\fs8}1{\r}=112.09 million yuan
有了这个数字
With that number
接下来我们就可以顺利地计算
then we can calculate smoothly
由于物价上涨15%
A 15% price increase
使得零售额增加的幅度
leads to an increase in retail sales amount
用(公式如上)
Use (formula as above)
等于1681万元
= 16.81 million yuan
这个很容易就可以算出来
This is easy to calculate
当然也由于我们计算出来了∑p{\fs8}0{\r}q{\fs8}1{\r}
Of course, because we have calculated ∑p{\fs8}0{\r}q{\fs8}1{\r}
接下来一步K{\fs8}q{\r}bar的计算
the next step to calculate K{\fs8}q{\r}bar
就非常顺利了
will go very well
那一定要注意的是K{\fs8}q{\r}bar
It must be noted that K{\fs8}q{\r}bar
要用拉氏指数来计算
should be calculated by the algorithm of Laspeyres index
(公式如上)
(formula as above)
等于11209除以8600
That is,11209 ÷ 8600
结果是130.34%
The result is 130.34%
反映了零售量它是增加的 上涨的
This reflects an increase in retail sales volume
那增加它所带来的
That increases its impact
零售额的变动是多少呢
in retail sales amount
用分子减去分母
Numerator - Denominator
(公式如上)
(formula as above)
等于2609万元
= 26.09 million yuan
这样的话我们就完成了先左后右
In this way, we finish the basic analysis process from left to right
先相对数后绝对数的基本的分析过程
the basic analysis process of relative number before absolute number
当然我们一定要验证一下
Of course, we have to test it
那两个数量关系成不成立
whether the two quantitative equivalences are satisfied
从相对数上面来看
In terms of relative quantity
149.88%确实会等于
Indeed, 149.88% is equal to
130.34%×115%
而从绝对数上面来看
While in terms of absolute quantity
4290万元确实也会等于
indeed, 42.9 million yuan
2609万+1681万
= 26.09 million + 16.81 million
很有可能你经过运算以后
It's very likely that after you finish the calculation
去验证你这两个等式它不成立
your two equations are tested to be unsatisfied
这有可能说明什么呢
What may it mean
对 有可能说明我们在计算
Yes, it may mean that
数量指标指数
we used a wrong method
和计算质量指标指数的时候
When calculating the quantity index
方法用错了
and quality index
两个同时都用了拉氏指数
That is, we use the algorithm of Laspeyres index
或者两个同时都用了帕氏指数
or Paasche index for both of them
那么我们的数量关系
So our quantitative equivalences
就肯定不会成立的
must be unsatisfied
所以从这个角度来讲
Therefore, from this point of view
指数体系还有一个纠错的功能是不是
index system has another function of error correction, doesn't it
它可以帮助我们检验一下
It can help us test
我们前面的算法是不是对的
whether our previous calculation is correct
最后我们也可以对刚才的
In the end, we can also
这个计算过程进行一个简单的
make a simple literal description
文字说明
on our calculation process
比如我们可以说报告期和基期相比
For example, we can say that compare the report period with the base period
社会商品零售额上升了49.88%
The retail sales amount of social goods in the report period increased by 49.88%
增加了4290万元
42.9 million yuan
其中零售物价报告期和基期相比
Among it, compared with that in the base period, the retail prices in the report period
综合上涨了15%
rose by 15% in total
使社会商品零售额增加了1681万元
thus leading to an increase of 16.81 million yuan in the retail sales amount of social goods
而零售量报告期和基期相比
Compared with that in the base period, the retail volume in the report period
增加了30.34%
increased by 30.34%
使得社会商品零售额
Thus leading to an increase of 26.09 million yuan
增加了2609万元
In the retail sales amount of social goods
你可以用自己的语言来组织
you can organize the words on your own
这个无所谓
It doesn't matter
反正你只要把这几个关系
Anyway, all you have to do is
说清楚了就可以
just make these relations clear
这就是利用指数体系
That is the basic process of analysis
对刚才前面这么简单的数据
of the above simple data
进行分析的基本过程
through the index system
我想问一下
I would like to ask
有没有同学计算销售量总指数的时候
whether any of you obtained the general sales amount index
直接使用了149.88%
by directly dividing 149.88%
去除以115%得到的
by 115%
如果你用了这个方法来得到
If you use this method to obtain the result
从数据上来讲也没有错
there's nothing wrong with the data
但是从因素分析的思路上来讲
but from the perspective of factor analysis
你的过程是反了的
your process is reversed
因为你先假设指数体系成立了
because you assumed that the index system was satisfied in advance
你去推算了另外一个指数
and then you calculated another index
这其实是指数体系的另外一个功能
This is another function of the index system
所以大家检查一下
So please check
你们刚才所计算的过程
whether your calculation process
是不是和我的过程是一样的
is same as mine
一定要先左后右
Be sure to proceed from left to right
先相对数后绝对数
from relative quantity to absolute quantity
这三个指数一定是先单独计算出来的
These three indexes must be calculated separately first
用拉氏指数
by the algorithm of Laspeyres index
用帕氏指数的方法先单独编制
They are compiled separately by the algorithm of Paasche index
后面才形成两个数量上的对等关系
and then form two quantitative equivalences
因为我们一定是先有三个独立的指数
because we must have three independent indexes first
然后来验证它们关系是不是成立的
And then we'll see if their relationship can be established
好 这是利用指数体系
Well, this is the process of factor analysis
来进行因素分析的过程
through the index system
第二 我们来看一下
Second, let's take a look at
指数体系的应用
the application of index system
可以帮助我们进行同度量因素
It can help us determine
时期的确定
the periods of isometric factors
同学们看到这个描述的时候
When you listen to this description
是不是立马就会说
you may ask me right away
老师 你不是说数量指标指数
Teacher, you said that a quantitative index
用拉氏指数来计算
should be calculated by the algorithm of Laspeyres index
而质量指标指数用帕氏指数来计算吗
And a quality index should be calculated by the algorithm of Paasche index
为什么这里又冒出来一个同度量因素
Why do you come up with
时期的确定
the determination of periods of isometric factors here
对的 其实我们前面说的是
Yes, as we said before
数量指标指数和质量指标指数
with regard to the calculation of a quantity index or quality index
计算的一般的原则
the general principle lies in
是数量指标指数用拉氏指数来计算
that a quantity index is calculated by the algorithm of Laspeyres index
同度量因素被固定在基期
If an isometric factor is fixed in the base period
质量指标指数用帕氏指数来计算
the quality index is calculated by the algorithm of the Paasche index
同度量因素被固定在报告期
If an isometric factor is fixed in the report period
但是我们不排除有这样的情况出现
we can't rule this case out
在某些情况下
In some cases
它要假定数量指标指数
it is assumed that a quantity index
用帕氏指数的方法来算
will be calculated by the algorithm of Paasche index
那当然如果数量指标指数
Of course, if the quantity index is calculated
用了帕氏指数来算的话
by the algorithm of Paasche index
我们可以推算质量指标指数
we can calculate the quality index
这个时候就不能再使用帕氏指数来算
At this time, we can't use the algorithm of Paasche index any more
它就要采用拉氏指数来算了
but need to use the algorithm of Laplace index
因为这个我们在前面的
because it can be seen from the previous
分析过程里边已经看到
analysis process
两个指数如果同时都采用
If both indexes are calculated
拉氏指数来算
by the algorithm of Laspeyres index
或者同时都采用帕氏指数来算
or Paasche index
我们指数体系里面的数量关系
the quantitative relations in our index system
就不能成立了
can't be established
那么对我们的因素分析就会产生影响
Then it will have an impact on our factor analysis
也就意味着对我们来讲
It means that for us
其实是存在着两套指数体系的
there are two index systems
第一套指数体系
The first index system
也就是说数量指标指数是拉氏指数
That is to say, a quantity index is a Laspeyres index
质量指标指数是帕氏指数的
and a quality index is a Paasche index
这是我们常用的一套指数体系
This is an index system we often use
还有第二套指数体系
The second index system
是备用的指数体系
is a backup index system
它和我们常用的指数体系
It's quite opposite
正好是相反的
to the index system we often use
也就是说数量指标指数
That is to say, a quantity index
用了帕氏指数的方法
is calculated by the algorithm of Paasche index
而质量指标指数
while a quality index
用了拉氏指数的方法来进行计算的
is calculated by the algorithm of Laspeyres index
所以这一个应用是基于这个前提
So this application
来使用的
is based on this assumption
这是它的第二个应用
This is its second application
第三个应用则是帮助我们
The third application is to help us
进行未知指数的推算
calculate unknown indexes
如果刚才前面的习题里边
If in the previous exercise
有同学130.34%
any of you obtained 130.34%
是用了149.88%除以115%
by dividing 149.88%
来计算的话
by 115%
其实你就已经用到了
you already used
指数体系的这个功能了
this function of index system
未知指数的推算其实很简单
The calculation of unknown indexes is very simple
就是利用(公式如上)
Just use (formula as above)
如果告诉了你其中两个
If I tell you two of them
那另外一个指数不就可以
then another index can be calculated
通过这个体系来进行推算吗
through this system
我们来看一个简单的例子
Let's take a simple example
假如已知2015年12月份
If it is known that prices in December 2015
物价同比上涨1.6%
rose by 1.6% year on year
请问2016年元月1号的100块钱
then may I ask how much of January 1, 2015
相当于2015年元月1号的多少钱呢
is equivalent to 100 yuan of January 1, 2016
这种问题是不是在我们日常生活里边
In our daily life
好像也经常会遇到
it seems that we often meet this question
你马上会不会问
You may ask me immediately
老师 怎么只有一个数字
teacher, there's only one number
是只有一个数字吗
is there only one number
大家看一看
Let's take a look
按照我刚才前面的提示
Following my previous tips
我们首先应该将这个题目里边的数字
we should first express the numbers in the question
用它相应的符号来表达
with their corresponding symbols
第一个数字 物价同比上涨1.6%
The first number is a 1.6% year-on-year increase
那就告诉我们K{\fs8}p{\r}bar是等于多少
This tell us what is K{\fs8}p{\r}bar equal to
101.6%对不对
101.6%, right
那他再问2016年
Then you may ask again
元月1号的100块钱
how much of January 1, 2015
相当于2015年元月1号的多少钱
is equivalent to100 yuan of January 1, 2016
那其实是问如果我现在拿100块钱
You are asking about the change in purchasing power
和2015年元月1号拿100块钱
between 100 yuan of now
它的购买力的变动对不对
and 100 yuan of January 1, 2015
那购买力的变动当然就是
When you ask about the change in purchasing power, of course
问销售量的变动了
you are asking about the change in sales volume
所以这个100块钱就相当于
So the 100 yuan is equivalent to
我的销售额或者是我的购买额
my sales amount or my purchase amount
是没有发生变化
Yes, it does not change
因此K{\fs8}pq{\r}bar
So K{\fs8}pq{\r}bar
在这个题目里边就是等于100%了
In this question, is equal to 100%
所以这个数字是隐含的
So this number is implicit
大家一定要注意了
All of you must pay attention to it
那就意味着通过这个分析
That means that through the analysis
我们已经知道K{\fs8}pq{\r}bar
we already know that K{\fs8}p{\r}bar
等于100%
is equal to 100%
而K{\fs8}p{\r}bar等于101.6%
and K{\fs8}p{\r}bar is equal to 101.6%
那么我们的K{\fs8}q{\r}bar
So our K{\fs8}q{\r}bar
不就可以通过这个来计算吗
can be calculated in this way
K{\fs8}q{\r}bar计算的结果是
According to the calculation, K{\fs8}q{\r}bar
等于98.4%
= 98.4%
那就告诉我们2016年
That tells us that
元月1号的100块钱
100 yuan of January 1, 2016
其实相当于2015年元月1号的
in fact, is equivalent to
98块4毛钱
98.40 yuan of January 1, 2015
因为它们的购买力是同样的
because they have the same purchasing power
这就是利用来进行
This is a small example
来推算未知指数的小例题
to calculate unknown indexes
其它的情况我们遇到了一个体系里边
Take another example. In a system
告诉了两个指数
two indexes are told
那第三个指数都可以用这种办法
then the third index
去进行推算
can be calculated in this way
好 这就是指数体系的第三个应用
Well, this is the third application of the index system
进行未知指数的推算
--calculation of unknown indexes
到这里为止
Up to this point
关于综合指数体系的内容
about the contents of composite index system
我们就全部介绍给大家
I have introduced them all to you
这一讲的内容就是这样了
So much for this 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