当前课程知识点:Learn Statistics with Ease > Chapter 3 Descriptive Statistics: Numerical Methods > 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
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
统计表里有各种形式
There are various kinds of statistical tables
但是作为一张统计表
They all have some important elements
它必须满足这几个要素
in common
从它的构成来看
In its formation
它有总标题
there must be a general title
有横行标题 有纵栏标题和数值
a transverse title, column headings and figures
四个要素
These four elements
构成一张完整的表
constitute a complete table
从它的表的内容来看
In its content
一张统计表 它必须有
a statistical table must have
主词和宾词
subject and predicable
主词 就是这张表
Subject is the population that
要说明的总体是什么
the table is trying to describe
比如说 我们国家
For example, in a statistical table about
公布的某个地区
three industries' GDP
三次产业GDP的有关情况
the information given
那这个总体就是这个地区
shows the population is a total unit
常住单位作为一个整体
made of permanent residents in this area
这是总体
This is the population total
三次产业是这个总体
And three industries
进行产业划分出来的组
is a unit divided based on business character
所以这个叫做主词
Therefore, this is referred to as subject
宾词 就说明主词
Predicable is used to describe subject,
也就说明总体的指标和数值
to show the indicators and values of the population
指标就是GDP具体数值
The indicators are specific figures of GDP
这是一张完整的统计表
This is a complete statistical table
统计表按它的划分
There are many ways to sort
它也可以分成好多表
statistical tables
在这里除掉形成统计表以外
Besides forming statistical tables
我们可以用统计表的资料
we can also use statistical data
进行统计图的绘制
to draw statistical charts
关于统计图的话
The early statistical charts
那个可以追溯到世界大战
can be traced back to World Wars
世界大战的时候
During World Wars
英军伤亡人数比较多
the casualties of the British army were high
那些人进行统计分析的时候
When they did statistical analysis
发现大部分
they found that most
不是战场上战死的
instead of being killed in the battle
主要是因为受伤以后
died from untreated injuries
护理不及时造成的伤亡
and infections that followed
这个是南丁格尔她就觉得
Nightingale proposed
应该在英军的护理方面
more attention should be paid to
多花一点力气
medical nursing in the British army
使他的士兵伤亡人数
to help minimize the number
减到最低
of casualties
南丁格尔觉得
Nightingale thought
写统计分析报告
it was too strenuous
把这种事实告诉他们
to write statistical analysis report to inform
海军长官和陆军长官的话
navy officials and army leaders
太费劲了
of this fact
当然她带的是一种嘲讽的口气
She was sure sarcastic
来对那些当官的讲的那些话
to mock the army chief
她觉得我要用一种
She thought about how to
更直观的方式
in a more visually appealing manner
把这个事实告诉他们
tell them the truth
所以南丁格尔就制作了
Nightingale drew many statistical charts
统计的饼图 直方图 累计图等等
such as pie chart, histogram, and cumulative graph etc.
所以统计图是南丁格尔
So it was Nightingale who
首先使用的
invented statistical charts
而统计图它可以
Statistical charts can arrange
首先你用那些资料
the data you have collected
可以制成饼图
in the form of a pie
就把全部总体画成一个饼
You can think of the whole thing as a pie
就一个圆
in the form of the circle
把每一组进行切割
and then divide the pie
分成各个散状块
into bulk blocks
这就是统计饼图
This is a statistical pie chart
大家可以看看这上面的图形
Please look at this graph
同样你也可以用我们的统计数列
Similarly, you can rely on statistical series
来画那个直方图
to draw a histogram
直方图画出来以后
As the histogram shows
像我们大部分的情况
in most cases
都属于钟形分布
the data is in a bell-shaped distribution
比如人的身高 人的智商等等
Data, like body heights, IQ
比如说考试
and the test scores
学生的考试成绩
from an exam
都属于钟形图
are all bell-shaped distribution
你也可以画成折线图
You can also draw a line chart
折线的看起来
Line chart is not as conspicuous
就没有那个直方图好看
as histogram
但是它画出来更平滑一点
but it is smooth
但是如果要更平滑
If you want to be smoother
那就是曲线图
you can use curve diagram
那就是像比如刚才讲的
The data we just mentioned, such as
身高 智商 考试成绩
body heights, IQ, and test scores
它画出来的曲线图
can be explained by curve diagrams
就像一面钟一样的
whose line resembles the shape of a bell
中国的一个钟一样的
a Chinese bell
所以我们叫做钟形图
and we call it bell curve
当然还可以用那些资料
Of course, you can use these data
统计资料来进行累计
the statistical data, for accumulative purposes
叫累计图
called cumulative graph
就是每一组的资料
Data in each individual unit
有向上累计 有向下累计
in cumulative up or cumulative down
就能形成累计图
form cumulative graphs
大家看看
Let us look at
资料上的那些图形
all these charts in our learning material
在前一讲中我们看到了
In our last lecture, we collected
二妞对她们班上的考试成绩
test scores from Er Niu’s class
进行了分组
and grouped them
形成了组距式数列
into class interval distribution series
那么进一步我们就可以根据
So now we can draw
每一组的次数或者频率
a frequency distribution table
形成频数分布表
based on number of times or frequency of each group
我们以二妞班上
We can use the Statistics score tests
这次统计学考试成绩为例
from Er Niu’s class to draw
来进行饼图 直方图
a pie chart, a histogram
和累计频数图的绘制
and a cumulative frequency diagram
首先我们打开Excel软件
First, open the Excel software
将全班50名同学的
to write the test scores of 50 students
考试成绩数据写入A列中
in the class into column A
其次我们将原始成绩数据
Then we rearrange the original data of scores
进行整理形成频数分布
to form a frequency distribution
在Excel中有一个很简便的
It is convenient to use Excel
实现频数分布的功能
for its built-in function to form frequency distribution
根据A列中的原始数据
According to the original data in column A
我们可以将每一组的上限
we can determine the upper limit
定义出来
of each group
大家可以看一下我的操作过程
I will show you the operation process
在第一个接收区域
In the first receiving region
我们可以将每一组的上限值
we can enter the upper limit
输入进去
of each unit
这里要注意的是
We must keep in mind
根据上组限不在内原则
the principle to exclude the upper limit
我们这里每一组
The upper limit of each unit
所定义的上组限分别为
we have set here is
59.99 69.99 79.99
59.99 69.99 79.99
89.99和99.99
89.99 and 99.99.
也就是说60 70 80 90 100
That is to say, 60 70 80 90 and 100
都不应该包含在上限所在的组内
should not be included into the unit where they are the upper limit
确定好接收区以后
After defining the receiving region
下一步我们就要找到
next, we need to find
菜单栏下的数据的分析功能
the feature of data analysis under the menu bar
将其打开
Open it
好 同学们现在可以看到
ok, now you can see
在数据分析模块下
there are many analysis tools
有很多种分析工具
in data analysis module
我们在这里选择
We shall choose
直方图功能 点击确定
Histogram, Click OK
打开直方图模块
to open histogram module
首先我们要确定其输入区域
First, we need to define its input section
也就是将A列下的
by box selecting
50名同学的原始成绩数据
the original data of scores of 50 students
框选进去
in column A
其次将每一个组的上限值
Then, select the class upper limit
选进接收区域
into the receiving region
最后我们假定I1为其输出区域
At last, we assume I1 as output area
点击确定我们可以看到
Click Ok and we can see
在Excel软件下的
in Excel software
I区域和J区域已经基本呈现出
area I and area J have already taken on
它大致的频数分布
an approximate frequency distribution
但是我们需要进行
But we still need to
一定程度的手动修改
make some modifications manually
将接收区域下的值
of the values in receiving regions
修改为组距数列
to form a class interval series
然后再进行自动求和
Then add values using AutoSum
好 这样一个完整的频数分布表
Ok, here, our complete frequency distribution table
就已经显示出来了
has been displayed
接下来我们就可以
Next, we will
利用频数分布表里面的数据
use the data in frequency distribution table
来绘制饼图
to draw a pie chart
首先选好原始数据
First, select original data
然后点击菜单栏下的插入饼图功能
then, click Insert a Pie Chart Feature under the menu bar
大家可以看到
As you can see
饼图功能下有
there are 2D pie chart and 3D pie chart
二维饼图和三维饼图
in Pie Chart Feature
在实际过程中
In your practice
你们可以根据你们的需要
you can choose appropriate type of pie chart
选择相应的饼图
to your request
在我们这里
Here
我们假设选择
suppose we choose
分离型的三维饼图
exploded 3D pie chart
好 现在基本的饼图
Now the elementary pie chart
已经呈现出来了
has shown
下一步我们就要给这个
Next, we need to
饼图上的每一部分进行赋值
assign value to each part of pie chart
通过点击这个功能键
By clicking Feature
我们可以看到
we can see
现在饼图上的每一个部分
the upper limit and lower limit
都呈现出了每一个部分的
of each part in the pie chart
上限 下限
displayed
以及它的相对频率
together with its relative frequency
一般为了美观
For best-viewing effect
我们将饼图上的数据
we will adjust the data on the pie chart
把它拉到旁边来
dragging the figures to the side
这样一张漂亮的饼图
Now, this pie chart of best viewing effect
就制作完成了
has been completed
如果是进行直方图的绘制
If you need to draw a histogram
我推荐大家使用另一个软件
I recommend you use another software
即spass软件
SPASS
使用spass软件
The SPASS software
所绘制的直方图
can help us draw neat
它更加的美观
histograms
同时操作起来也更加的方便
with easy-to-use operations
好 我们现在可以看到
Now, let us look at the two lists of data
屏幕的左上角显示了两列数据
displayed in the upper-left corner of the screen
这两列数据所形成的
These two lists show
就是我们之前所看到的
the frequency distribution
频数分布
we saw earlier
但是如果我们再仔细观察
But if we take closer look at
成绩这一列所显示的数据
the data in the column of Score
我们就会发现
we will discover
它和我们之前的组距式数列
it is different from the previous
是不同的
class interval distribution series
也就是它显示的是单项式数列
The series it displays is single-valued
但是这一单项式数列
But the single-valued distribution series
实际上它对应的
in fact, corresponds with
又是我们之前组距式数列的组中值
the previous class mid-point of the class interval distribution series
下一步 我们就要利用这两列数据
Next, we will use these two lists of data
来进行直方图的绘制
to draw a histogram
使用spss软件
using SPASS software
进行直方图的绘制
To draw a histogram
首先要对个案进行加权处理
we should first weigh the case
在我们这里
Now
实际上就是对每一组的
we are going to define the weight
成绩数据进行权数的确定
of data of scores in each group
我们找到菜单栏上的数据功能
We find the data function in menu bar
点击加权个案
click Weigh the Case
我们可以看到
we can see
屏幕上显示出了
the module of weighing the case
加权个案的模块
displayed on the screen
我们将模块下的频数
We import the frequency in the module
导入到右侧的频数变量中
into the frequency variables on the right
点击确定
and click Ok
下面我们就可以进行
Now we can continue to
直方图的绘制了
draw a histogram
找到菜单栏上的分析功能
Find Analysis Function in menu bar
点击描述统计
click Descriptive Statistics
再选择频率
select Frequency
好 现在我们看到屏幕上
Ok, we can see, on the screen
显示的是频率模块
the frequency module
成绩和频数都在左侧框中
with scores and frequency in the left box
我们点击成绩
We click Scores
将其导入到右侧框中
and import the data into the right box
再点击绘图 直方图
and then click Chart Histogram
点击确定
click Ok
现在我们在输出窗口中
Now we can find, in Output Window
可以找到已经绘制出来的直方图
the histogram that has been drawn
大家可以很清楚的看到
We can see clearly
在直方图的横坐标上
on the abscissa of the histogram
显示的是我们成绩的数据
are the test scores
而直方图的纵坐标上
and in the axis of ordinates of the histogram
显示的是它相对应的频数
are corresponding frequencies
而在直方图的右侧显示的是
On the right side of the histogram display
二妞班上的平均成绩
the GPA of Er Niu’s class
以及它的标准差
and its standard deviation
和参加考试的总人数
and the total number of test takers
现在直方图已经绘制好了
Now the histogram is complete
接下来我们还可以
then, we can
在直方图的基础上
based on this histogram
来添加正态曲线
add a normal curve
还是点击分析 描述统计 频率
and buttons of Click Analysis, Descriptive Statistics, and Frequency
再点击绘图
Click Chart again
找到直方图的功能项
find Histogram Function
在直方图的功能下项
there is another function
我们看到了还有一个功能
under the Histogram Function
是显示正态曲线
of Display Normal Curve
点击继续确定
Click Continue
那我们可以看到
then we can see
在输出窗口中
in the output window
除了刚才我们所看到的
beside the histogram
直方图以外
we saw before
在直方图的上方
there is a bell curve
还显示出了一条钟形曲线
on top of the histogram
也就是正态曲线
or a normal curve
以帮助我们更好的观察
to help us better observe
二妞班上这次考试成绩的分布情况
the distribution of test scores in Er Niu’s class
下面我们再来介绍一下
Now I will introduce to you
累计频数分布图的绘制方法
the way to draw cumulative frequency distribution diagram
首先我们要确定
First, we need to determine
向上累计频数和向下累计频数
upward cumulative frequency and downward cumulative frequency
向上累计频数也称为较小制累计
also known as cumulative frequency table on “less-than” basis
也就是从较小的频数
meaning to start from a frequency
逐步累加为较大的频数
less than the frequency that follows
而向下累计正好相反
Downward cumulative frequency is the other around
确定好了这两列数据之后
After the two lists of data is defined
下一步
then
我们就要分别在
we enter these data
K列和M列下插入数据
into column K and M
那么这两列是做什么用的呢
What do these columns do
根据我们之前对向上累计频数
According to our understanding of
和向下累计频数定义的解释
upward cumulative frequency and downward cumulative frequency
向上累计频数代表的是
upward cumulative frequency describes
本组上限以下的累计次数
the number of times below the class upper limit
而向下累计频数代表的是
while downward cumulative frequency describes
本组下限以上的累计次数
the number of times above the class lower limit
因此我们在K列和M列下
Therefore, we enter the class upper limit
分别添加本组上限
and the class lower limit
和本组下限的数值
into column K and M
那么它们分别代表什么含义呢
So what does these values represent
举例来说本组上限70
Suppose the class upper limit is 70
所对应的向上累计为23
its corresponding upward cumulative is 23
它表示的是70分以下的人
meaning there are 23 persons
总共有23个
whose scores are below 70
而本组下限60
And suppose the class lower limit is 60
所对应的向下累计48
its corresponding downward cumulative is 23
它表示60分以上的人
meaning there are 48 persons
总共有48个
whose scores are above 60
准备好了这些信息以后
After entering this information
接下来我们就可以进行
we can continue to
累计频数分布图的绘制
draw a cumulative frequency distribution diagram
首先我们进行向上累计
First, we draw the cumulative frequency distribution diagram
频数分布图的绘制
of cumulative up
我们只需要点击
Just click Insert
插入下的折线图
and select Line Chart
大家可以看到
We can see
折线图下有很多不同的选项
there are many options under Line Chart
在这里我们选择其中的一个
And we select this one
二维折线图
2D Line Chart
然后我们可以看到
We will see
在屏幕上显示出了一个
a white chart area
白色的图表区
displayed on the screen
选中图表区点击右键
Select the chart area and right-click
然后选择数据
Select Data
现在我们看到
Now we can see
有一个选择数据原模块
a Select Data Module
出现在屏幕上
on the screen
我们点击添加按钮
Click Add Button
出现了编辑数据系列窗口
to display Data Editor
这个时候
Then
根据我们做图的需要
According to our needs
在系列名称上
we select from the series names
我们选中向上累计
Cumulative Up
在下面对应的系列值上
and from the corresponding series of values
我们选中向上累计下
we select Corresponding Specific Value
所对应的具体数值
under Cumulative Up
点击确定
Click Ok
这个时候在图表区
Now, the chart area
已经显示出了
has shown the approximate
大致的向上累计的频数分布图
upward cumulative frequency distribution chart
但是下面的横轴
But the abscissa below
还不是我们对应的本组上限
has not become the corresponding class upper limit
因此我们要进行一定程度的修改
We need to make some modifications
在选择数据原模块下
Under Select Data Module
我们看到了有一个栏目
we can see a section
叫做水平轴标签
called Horizontal Axis Label
在水平轴标签下
Under the Horizontal Axis Label
我们进行编辑
we can edit
将本组上限值输入
by entering the class upper limit
好 现在我们可以看到
Now, we can see
在这张图上的横坐标
the Horizontal Axis of this chart
已经变为了我们的本组上限值
has become the class upper limit
同时我们还可以
At the same time, we can
对上面的向上累计的文字进行修改
modify the text Cumulative Up above
好 到这里
Ok, by this time
向上累计频数分布图
the upward cumulative frequency distribution diagram
已经完整的呈现出来
has been completed
同样的我们可以用
Similarly, we can use
刚刚一样的方法进行
the same method
向下累计频数分布图的绘制
to draw a downward cumulative frequency distribution diagram
到这里我们就完成了
Here, we have finished drawing
向上累计频数分布图
upward cumulative frequency distribution diagram
和向下累计频数分布图的绘制
and downward cumulative frequency distribution diagram
我们可以把社会经济现象
We can sum up the distribution
那所有的那些分布
the distribution series
数列分布归纳为这几种图形
of social economic phenomena into several charts
一 钟形图
Firstly, the bell-shaped distribution
就是中间峰值比较高
with the top of the bell representing its mean
两边比较低
downward-sloping curves on each side
也就是说大部分靠近中间这水平
show most of the values distribute around the mean
第二是U形图
Secondly U-shaped distribution
U形图中部的那个次数比较少
The curve at the bottom represents the lowest frequency
就中等水平比较少
meaning the frequency of the medium
而低的水平和高的水平
is lower than it of the minimum
次数比较多
and maximum
这个跟什么像
This resembles
比如说我们人的死亡率
the mortality rates
一般幼儿 婴儿的死亡率高
Usually death rates among infants and babies
老年的死亡率高
and among the elderly are higher
而中年人死亡率低
than among the middle-aged
它是U形图
This is U-shaped chart
再一个是J形图
Then there is J-shaped distribution
J形图 有正J形图
There are J chart
还有反J形图
and inverted J chart
学过经济学的话
If you know something about economics
供求曲线就属于J形图
you know supply and demand curve is a J chart
你像供给价格越高
The higher the price is
它供应量就越多
the more sufficient, the supply
所以它是正J形
So it is J-shaped
而需求呢
And demand
就是价格越低需求量越高
the lower the price is, the higher the demand
它是反J形图
It is inverted J-shaped
所以统计分组出来的资料
Consequently, we can draw statistical charts
可以进行我们的统计图的绘制
based on data from statistical grouping
统计图对于初学的人来讲
Statistical charts, for beginner of this subject
比较直观
create an intuitive understanding
-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