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哎呀 你看
Oops! Look
怎么还没到一天
How did the cellphone run out of power
手机就没电了
within less than a day
买的时候销售员还告诉我
When I was buying it, the salesperson told me
这款手机能待机120个小时
this cellphone could stand by for 120 hours
都是骗人的
All this is hype
是不是今天接打电话比较多
Are there many calls today
没有啊
No
哎呦
Whoops
真想投诉一下他们
I really want to complain about them
虚假广告
for their false advertising
说不定是你运气不好
Perhaps it is your bad luck to blame
正好拿到一个品质
It happened that you received an
没有达标的手机
inferior cellphone
万一因证据不足
In case of inadequate evidence
人家还要告我们诬陷啊
they would possibly accuse us of framing them up
那怎样才证据充足
So how to ensure sufficient evidence
好像质监部门要先进行抽查
It looks like the department of quality assurance will conduct a spot check first
根据抽查的结果
Not until the result of the spot check comes out
才能判断是不是虚假广告
can we tell whether it is a false advertising
爸爸妈妈
Dad and Mom
你们在讨论什么
what are you discussing
质监部门 虚假广告
The department of quality assurance, and false advertising
是说质量检测吧
Are you talking about the quality test
对对对 就是你说的
Right. It is just what you are saying
什么什么检测
What test
可以验证手机宣传里说的
It can be verified whether what was said in the advertisement in the cellphone
是不是真的
Is true or false
质量检测
The quality test
好像听说过
sounds unfamiliar to us
一定要质检部门吗
Is it sure to undergo the inspection of the department of quality assurance
大妞你会吗
Are you able to, big girl
你帮妈妈检测检测
You help Mom have a test
看看他们的宣传
Look at their advertisement
是不是真的
Is it true
妈妈
Mom
质量检测的内容
I have not learned
我还没学呢
anything about quality test
不过央视315晚会
But didn’t the March 15 evening party of CCTV
不也播了吗
play it
公布检测结果之前
Before releasing the test result
都要抽查一些产品的
they would conduct a spot check on some products
可能要买30部
Maybe you have to buy 30
或者更多手机来测哦
or more cellphones for test
你确定要吗
Are you sure you need them
啊
Ah
那还是等你学会了再说吧
Let’s talk about it until you have learned
大家好
Hello everyone
欢迎来到轻松学统计的课堂
Welcome to the Easy Learning Statistics Class
今天我们要给大家讲的是
Today I will give everyone a lecture
第八章的内容
of Chapter VIII
假设检验
Hypothesis Testing
假设检验呢
Hypothesis testing
我们说有参数检验
as we say, is classified into parametric testing
和非参数检验之分
and non-parametric testing
那么我们这章
This chapter
主要讲的就是参数检验的内容
mainly deals with parametric testing
参数检验呢
Parametric testing is a statistic procedure
是先对总体的参数
in which a certain hypothesis is proposed
提出某种假设
for the parameter(s) of population
然后利用样本信息
before the sample information is used
判断原假设
to judge whether the original hypothesis
是否成立的统计方法
is true or false
之前的第七章
In the previous Chapter VII
我们讲了区间估计的内容
we talked about interval estimation
那么大家现在可以回想一下
So now everyone can recall
区间估计的做法
the practice of interval estimation
区间估计
In interval estimation
我们往往前提
a typical premise
是对总体参数未知
is that the population parameter(s) is/are unknown to us
那么我们
So we
就利用样本的信息
use the sample information
来对总体的参数
to make a point estimation
给出一个点估计
or an interval estimation
或者是给出一个区间估计
about the population parameter(s)
那么假设检验
So we say the common ground
它跟区间估计
between hypothesis testing
我们说它的共同点
and interval estimation
都是想利用样本的信息
is to infer the information about the population
来推断总体的信息
using the information about the sample
那么假设检验
The underlying idea
它的基本的思想
of hypothesis testing
就是我们对总体的参数不知道
is that the parameter(s) about the population is/are unknown to us
但是我们可以提出某种假设
but that we can propose some hypothesis
然后我们利用样本的信息
before using the information about the sample
对我们所做的假设作出判断
to make a judgment on our hypothesis
那么假设检验
So hypothesis testing
逻辑上采用了反证法
logically adopts the proof by contradiction
统计上
Statistically
依据了小概率原理
the small probability principle lays a basis
小概率原理就是指
The small probability principle refers to the viewpoint that
概率很小的事件
some event with very small probability
在一次的实验中
is almost unlikely to happen
几乎是不可能发生的
in a trial
假设检验的思想
The thought of hypothesis testing
我们在生活中经常会遇到
is often encountered in our life
比如有一个专家组
For example, a panel
要对我们学校进行教学评估
will conduct a teaching evaluation at our school
那么他来学校检查之前
Before they arrive at our school for inspection
在他的这个心里
we say they may foster a hypothesis
我们说他可能会有一个假设
in their mind
比如说
For instance
他认为江西财经大学
they believe Jiangxi University of Finance and Economics
是一个很好的学校
is a very good university
所以学风很好
where the academic atmosphere is very fine
这是他的一个开始的假设
This is a hypothesis they raise at the beginning
如果他这个假设成立
If his assumption holds
大家想一下
everyone can imagine
那么他在学校里检查
during their inspection in the school
遇到一些学风不好的情况
the academic atmosphere turns out bad for such cases
比如说经常打游戏
as playing games very often
上课看手机这种现象
and watching mobile phones in class
那么这个事件
then the probability that this event
事实上发生的概率
actually happens
应该是很小的
should be very small
但是假如
But provided that
他随意在学校
they pay arbitrary
走访了几间教室
visits to several classrooms in the school
那么就发现这个看手机
to find such phenomena as watching mobile phones
打游戏这种现象
and playing games
很频繁地发生了
happen very frequently
那么这个时候
at this moment
大家想一下
everyone can guess
他当然要怎么样
what they will surely do
推翻他开始的假设
subvert their initial hypothesis.
这实质上就是
This in essence is
假设检验的一个基本的思想
a basic thought of hypothesis testing
也就是说我们
In other words
是在原假设成立的情况下
we have defined a small probability event
先界定了小概率事件
under the condition that the original hypothesis holds
那么正常的情况下
So in normal cases
这个小概率事件
this small probability event
我们说在一次实验当中
we say, is surely unlikely to happen
当然是不可能发生的
in a single trial
但是如果发生了
But should it happen
我们就会认为这个
we would not think
事实上这个事件
this event
它就不是小概率事件
to be a small probability event
它为什么不是小概率事件呢
Why isn’t it a small probability event
就是因为原假设是有问题的
Because the original hypothesis is problematic
所以我们要推翻原假设
We shall subvert it
这就是假设检验的
This is an essential thought of
一个基本的思想
hypothesis testing
在后续的讲解当中
In the subsequent lectures
我们还会给大家
we will make
再仔细地去解读
further interpretation in more details to everyone
假设检验的一个基本的原理
about an essential principle of hypothesis testing
接下来
Next
我们对大家来讲
we address another
也是一个难点问题
difficult issue to everyone
就是关于在假设检验当中
namely the issue of how to propose the original hypothesis in a proper way
如何正确提出原假设的问题
during hypothesis testing
在假设检验当中
In hypothesis testing
我们说有两个假设
we say there are two hypotheses
一个是原假设
One is the original hypothesis
一个是备择假设
and the other is an alternative hypothesis
那么原假设
The original hypothesis
我们又叫它零假设
is also referred to as null hypothesis
通常是我们研究者
which is usually the hypothesis
想收集证据
we, as researchers, hope to oppose
予以反对的假设
by collecting evidence
用H0来表示
It is denoted as H0
那么它表达的含义
typically expressing the connotation
往往就是总体的参数没有变化
that there is no variation in the parameter(s) of the population
或者变量之间没有关系
or that there is no relation between the variables
那么原假设
So the original hypothesis
在假设检验当中
is always true at the very beginning
最初都是假定成立的
of hypothesis testing
然后我们再根据样本的数据
Next, we decide whether there is enough evidence
确定我们是否有足够的证据
for us to reject the original hypothesis
来拒绝原假设
based on the data about the sample
那么原假设的形式
So
大家可以看一下
everyone can have a look at
原假设的形式
the form of original hypothesis
总是比如说H0 μ
Cases are always that H0, μ
等于某一个数值
is equal to a certain value
或者H0 μ
or that H0, μ
大于等于某一个数值
is greater than or equal to a certain value
或者H0 μ
or that H0, μ
小于等于某一个数值
is smaller than or equal to a value
总是这样的形式
Such is the regular form
那什么是备择假设呢
Then what is alternative hypothesis
备择假设又叫研究假设
Alternative hypothesis is also called the research hypothesis
那么它是研究者想收集证据
It is the hypothesis the researcher hopes
予以支持的假设
to corroborate by collecting evidence
我们把它用H1或者Ha来表示
We denote it as H1 or Hα
那么根据刚才
According to
我们对原假设的这个讲解
our interpretation about original hypothesis just now
那么备择假设呢
alternative hypothesis
事实上它跟原假设正好是相反的
is just contrary to the original hypothesis
是完全相反的一个对立的事件
and is an opposite event
那么它所表达的含义
It expresses the connotation
就是总体的参数发生了变化
that there is some variation in the parameter(s) of the population
或者变量之间有某种关系
or that there exists a certain relation between the variables
那么备择假设
So alternative hypothesis
通常都是来表达
usually expresses
研究者倾向于支持的看法
the opinion the researcher tends to support
也就是说我们要想办法收集证据
In other words, we shall manage to collect evidence
拒绝原假设
to reject the original hypothesis
以支持备择假设
in order to corroborate the alternative hypothesis
那么备择假设
The form
它的形式
of alternative hypothesis
跟刚才我们所讲的
is corresponding to
原假设的形式
the form of original hypothesis
是对应的
as we mentioned just now
那么它往往具有
It typically has
这样一下的几个形式
such forms as below
那么就是比如说
For instance
H1是μ不等于某一个数值
H1 is that μ is not equal to a certain value
或者μ大于某一个数值
or that μ is greater than a certain value
或者μ小于某一个数值
or that μ is smaller than a certain value
原假设和备择假设
The original hypothesis and the alternative hypothesis
构成了完备事件组
compose a complete event group
它们是完全对立的事件
They are totally opposite events
那么在我们假设检验当中
In hypothesis testing
你要么拒绝原假设
you must either reject the original hypothesis
要么不拒绝原假设
or accept it
那么必须
That is to say
我们作出一种选择
we must make a definite choice
假设检验
Hypothesis test
有双侧检验与单侧检验之分
falls into two-sided test and one-sided test
那么怎么样去判断
So how to judge
一个假设检验
whether a hypothesis test
它是双侧检验还是单侧检验呢
is a two-sided test or a one-sided test
我们主要来看
It mainly depends on
备择假设的符号
the sign of the alternative hypothesis
如果备择假设
If the alternative hypothesis
含有符号不等号
contains an inequality sign
那么这个假设检验
then this hypothesis test
就是一个双侧检验
is a two-sided test
或者双尾检验
or two-tailed test
如果备择假设
If the alternative hypothesis
具有特定的方向性
has particular directivity
比如说含有符号
for example, if the hypothesis test contains
大于号或者小于号的假设检验
the greater-than or smaller-than sign
我们就称为
we call it
单侧检验或者是单尾检验
a one-sided test or one-tailed test
那么通常
Generally
我们备择假设的方向为小于号的
a hypothesis test is called left-sided test
称为左侧检验
if the direction of the alternative hypothesis is a smaller-than sign
备择假设的方向为大于号的
or right-sided test
称为右侧检验
if the direction of the alternative hypothesis is a greater-than sign
接下来这张表
The following table
就给我们总结了
makes a summary of
刚才单侧检验和双侧检验的内容
the aforementioned one-sided test versus two-sided test
那么大家可以看
Everyone can look at
这个原假设和备择假设
the concrete forms
在双侧检验和单侧检验下
of the original hypothesis and the alternative hypothesis
它的具体的形式
under two-sided test and one-sided test
同学们在学习的过程当中
One puzzle students have encountered during the study
有一个难点问题就是
is that
不知道如何在假设检验当中
they don’t know how to propose a hypothesis properly
正确地提出假设
in hypothesis testing
那么下面
In the following part
我们会给大家
I will make an elaborate explanation
具体讲解一下这个知识点
on this point to everyone
那么正如我们刚才所讲
Just as we said
原假设和备择假设
the original hypothesis and the alternative hypothesis
它一起构成了一个完备事件组
compose a complete event group
而且相互对立
and they are antithetical to each other
那么在一项假设检验当中
It follows that in a hypothesis test
原假设和备择假设
either the original hypothesis or the alternative hypothesis
必然有一个成立
must hold
而且只有一个成立
and not both
那么我们在确定
So, when deciding on
原假设和备择假设的时候
the original hypothesis and the alternative hypothesis
建议大家先确定备择假设
everyone is advised to decide on the latter
再确定原假设
before the former
为什么这样呢
Why
因为备择假设
Because the alternative hypothesis
我们刚才说了
as I said just now
是研究者想收集证据
is the hypothesis the researcher hopes to corroborate
予以支持的假设
by collecting evidence
所以你要把你
You need to make clear
想支持什么东西搞清楚
what you hope to support
然后把它放在备择假设上面
before attaching it to the alternative hypothesis
那么当然它的对立事件
Naturally, its opposite event
就是原假设了
is the original hypothesis
另外大家还需要注意的一点就是
Besides, everyone needs to pay attention to another point that
等号总是放在原假设上
the equal sign is always attached to the original hypothesis
那么刚才
Just now
我们给大家看了
We demonstrated to everyone
单侧检验和双侧检验
one-sided test and the two-sided test
就是关于总体的均值
Regarding the mean of population
我们提出的一系列的假设
we propose a series of hypotheses
给大家总结了
We have summarized to everyone
什么情况下双侧检验
in what situation a hypothesis test is two-sided test
什么情况下左侧检验
left-sided test
什么情况下是右侧检验
or right-sided test
那么不知道大家发现了没有
I don’t know if you notice that
我们的等号总是(在)原假设上
the equal sign is always attached to the original hypothesis
就是原假设
That is, the original hypothesis
总是μ等于多少
is always about μ is equal to what
或者μ大于等于多少
or μ is greater than or equal to what
或者μ小于等于多少
or μ is smaller than or equal to what
这个是我们一个通常的做法
This is our common practice
主要也是为了方便
This is mainly to facilitate the progress of
我们假设检验
our hypothesis testing
它整体的
as a holistic
这样一个分析过程的进行
analytic process
那么接下来
Next
我们通过几个例子
we take several examples
给大家练习一下
for everyone to practice
如何正确地提出
how to propose
原假设和备择假设
an original hypothesis and an alternative hypothesis properly
首先大家看这样一个例子
Below is the first example for everyone to examine
一种零件的生产标准
The production standard of a component
是直径应为10厘米
is that the diameter should be 10 cm
为了对生产过程进行控制
In order to control the production process
质量监测人员
a quality monitoring personnel
定期对一台加工机床检查
conducts regular inspection on a processing machine
确定这台机床生产的零件
and decides whether the components produced by this machine
是否符合标准要求
meet the standard requirement
如果零件的平均直径
In either case the mean diameter of the components
大于或者小于10厘米
is greater or smaller than 10 cm
则表明生产过程不正常
the production process is considered abnormal
必须进行调整
and must be regulated
试陈述用来检验生产过程
Try to state an original hypothesis and an alternative hypothesis
是否正常的原假设和备择假设
for testing whether the production process is normal
在这个例子当中
In this example
我们来想一下
Let’s have a think
那么我们研究者
Our researcher
在这个例题当中
in this scenario
就是这个质量监测人员
is the quality monitoring personnel
这个质量监测人员
who
他想收集证据证实的
hopes to collect evidence to testify
其实就是这个零件的尺寸
the dimension of the components
不符合他的要求
What he hopes to verify
这是他想收集证据
is that the dimension falls short of
予以证实的东西
his requirement
所以这样的话
Such being the case
它的备择假设
its alternative hypothesis
就是μ不等于10厘米
is μ is unequal to 10 cm
那么当我们确定了
After we have decided on
这个备择假设之后
this alternative hypothesis
那么我们接下来
we can
就完全可以确定原假设了
completely decide on the original hypothesis in the following step
那么因为备择假设
Since the alternative hypothesis
是μ不等于10厘米
is μ is unequal to 10 cm
所以原假设
the original hypothesis
当然是μ等于10厘米
is definitely μ is equal to 10 cm
所以这个
So this
是一个典型的双侧检验的例子
is a typical example of the two-sided test
再接下来
Further
我们再看一个例子
Let’s examine another example
学校想购入十万只灯泡
A school wants to purchase one hundred thousand bulbs
合同规定其使用寿命
whose useful life, as specified in the contract
平均不能低于1000小时
cannot be less than 1000 hours on average
已知灯泡使用寿命
It is known that the useful life of the bulbs
服从正态分布
obeys the normal distribution
那么它的σ
and that its standard deviation δ
就是标准差为200
is 200
现从中随机抽取100只
Now 100 bulbs are sampled at random from them
测得样本均值为960小时
The sample mean is measured to be 960 hours
可否认为
Can it be considered
这批灯泡的平均使用寿命
that the mean useful life of this batch of bulbs
低于1000小时
is less than 1000 hours
那么在这个例题当中
In this example question
那么大家也来想一想
everyone just has a think
这个时候 研究者
whether the researcher, at this moment
想收集证据
hopes to testify
予以证实的
that the mean useful life of the bulbs
是灯泡的平均使用寿命
is less than 1000 hours
低于1000小时
or that it is more than 1000 hours
还是高于1000小时呢
by collecting evidence
因为合同规定
Since it has be stipulated in the contract
它的使用寿命
that its useful life
平均不能低于1000小时
cannot be less than 1000 hours on average
那么你来做这个假设检验
when you perform this hypothesis test
那么研究者
the researcher
它是想收集证据
hopes to collect evidence
来证实这个灯泡的平均寿命
to testify that the mean lifetime of these bulbs
是低于1000小时的
is less than 1000 hours
那么在这样一个分析的前提下
Under this premise of analysis
我们就可以确定备择假设
we can decide on the alternative hypothesis
备择假设就是μ小于1000
that μ is less than 1000 hours
那么当然
Of course
我们确定备择假设之后
we can decide on the original hypothesis
就可以确定原假设了
after the alternative hypothesis
那么原假设
So the original hypothesis
就是μ大于等于1000小时
is μ is greater than or equal to 1000 hours
那么大家也可以发现
Everyone can find
等号总在原假设上
that the equal sign is always attached to the original hypothesis
这个是我们通常的做法
This is our common practice
再接下来
Let’s move on
我们再看一个例子
and examine another example
一家研究机构估计
A research institution estimates
某城市中
in a city
家庭拥有汽车的比例
the proportion of households owning a car
超过30%
exceeds 30%
为验证这一估计是否正确
In order to verify whether this estimation is correct
该研究机构随机抽取了
this research institution draws
一个样本进行检验
a sample at random to test
是陈述用于检验的
Try to state an original hypothesis and an alternative hypothesis
原假设与备择假设
for the test
在这个问题当中
In this problem
大家注意 立场很重要
everyone should notice standpoint matters significantly
那么我们在这个例子当中说
We say, in this example
这个研究机构
that the research institution
他估计出来
estimates
家庭拥有汽车的比例
the proportion of households owning a car
超过了30%
exceeds 30%
是这个研究机构
Because the research institution
想搜集证据
hopes to collect evidence
支持他的这个论断
to corroborate this argument
所以他进行了这个假设检验
it conducts this hypothesis test
那么在这种情况下
Such being the case
我们说研究者想支持的结论
we say the conclusion the researcher hopes to uphold
就是家庭拥有汽车的比例
is that the proportion of households owning a car
是超过30%的
is over 30%
所以我们先确定备择假设
So we first decide on the alternative hypothesis
备择假设
which
就是P大于30%
is P is greater than 30%
P就表示这个拥有汽车的比例
where P signifies the proportion of owning cars
那么当然我们的原假设
Of course, our original hypothesis
也就随之确定了
is decided thereupon
那么原假设
The original hypothesis
就是P小于等于30(%)
is P is smaller than or equal to 30%
那么仍然可以发现
It can still be found
等号总在原假设上
that the equal sign is always attached to the original hypothesis
下面大家来做一个练习
Now everyone does a practice
某化肥厂
A chemical fertilizer plant
将生产的尿素装袋
bags the urea it has produced
每袋规定重量为50公斤
Specified weight per bag is 50 kg
为保证装袋质量
In order to assure the quality of bagging
质量检验人员
the quality inspector
需要在包装机工作时
needs to sample several bags of products at random
随机抽取若干袋产品
and measure their weight
测量其重量
while the packing machine is working
以判定包装机工作是否正常
so as to determine whether the packing machine operates as normal
在这个问题当中
In this problem
研究者想搜集证据
the viewpoint the researcher hopes
予以证实的这个观点
to testify
我们说非常的明确
by collecting evidence
就是要搜集证据
is that the packing machine is judged
判定这个包装机工作怎么样
not to operate as normal
不正常
which we say is very explicit
不然他也不会来做
Otherwise he would not do
这样一个检验
such a test
那么所以
It follows that
在这个问题当中
in this problem
备择假设就是
the alternative hypothesis is
μ不等于50公斤
μ is unequal to 50 kg
那么原假设
whereas the original hypothesis
就是μ等于50公斤
is μ is equal to 50 kg
因为它的标准
Since the standard
是规定的每袋的重量为50公斤
weight per bag is 50 kg
所以大于 小于
neither greater-than nor less-than
都是不符合要求的
meets the requirement
所以这个问题
So this problem
显然是一个双侧检验的问题
is one of the two-sided tests
再接下来
Further
我们再看一道练习题
let’s examine another exercise problem
某化工企业
A chemical engineering enterprise
为了提高产品的合格率
needs to purchase a batch of
需要采购一批
high-purity raw materials W
纯度较高的W原料
in order to improve the qualified ratio of products
在已经接到的报价中
Among the quoted prices received
A厂商价格合理
Manufacturer A has stated a reasonable price
并宣称产品
and claims that
平均纯度不低于98%
the mean purity of its products is no less than 98%
符合该企业
meeting the requirement of this enterprise
对于原材料纯度的要求
for the purity of raw materials
为此该企业准备进行一次检测
This enterprise is prepared to conduct a test
核实A厂商报价中
to verify whether the value of the technical indicator
W原料的平均纯度不低于98%的
that the mean purity of raw materials W is no less than 98%
技术指标数值是否属实
is true in Manufacturer A's price
然后决定是否签订采购合同
before deciding whether to sign the purchase contract
那么这里
Here
从他这个问题的表述当中
from the statement of this problem
大家可以发现
everyone can notice
我们做这个检验
in doing this test
我们是站在企业的这个角度上
we stand at the angle of the enterprise
那么我们想搜集证据
So what we hope to testify
证明的东西
by collecting evidence
就是这个A厂商
is that Manufacturer A's
他的论断不成立
argument does not stand
所以我们在这个问题当中
Hence, in this problem
备择假设就是μ小于98%
the alternative hypothesis is μ is less than 98%
那么当然原假设
Of course, then, the original hypothesis
就是μ大于等于98%
is μ is greater than or equal to 98%
等号总在原假设上
The equal sign is always attached to the original hypothesis
然后我们这个检验
Next, shall we call this test
我们说它是一个左侧检验
a left-sided test
还是右侧检验呢
or a right-sided test
按照我们刚才给大家介绍的知识
According to the knowledge we have just now introduced to everyone
那么它的备择假设的符号
the sign in its alternative hypothesis
是一个小于号
is a smaller-than sign
所以它是一个左侧检验
so it is a left-sided test
好 这一讲的内容
Well, so much
我们就讲到这里
for this lecture
谢谢大家
Thank you, everyone
-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