Probability Theory and Mathematical Statistics is a highly practical course. However, at present in China, most of the focus on the introduction of the basic methods, but ignored the teaching of statistical experiments. This is not only not conducive to improving students' innovative spirit and practical ability, but also makes the teaching of this course seem boring and uninteresting. To this end, we introduce some commonly used statistical software, in order to enable students to have a preliminary understanding of statistical software, for the future application of statistical methods to solve practical problems to lay a preliminary foundation.
I. Types of statistical software
1. SAS
is currently the most popular international system of large-scale statistical analysis, known as the standard software for statistical analysis. Despite its high price, SAS has been widely used in different fields such as *** administration, scientific research, education, production and finance, and plays an increasingly important role. At present, SAS has more than 29,000 customers in more than 100 countries and regions around the world, with more than 3 million direct users. In China, the National Information Center, the National Bureau of Statistics, the Ministry of Health, the Chinese Academy of Sciences and so on are SAS system of large users. Although it has been "dumbed down" as much as possible, it still requires some training to use. Therefore, the statistical software is mainly suitable for statisticians and researchers.
2. SPSS
SPSS as a statistical software toolkit, second only to SAS, has a wide range of applications in the social sciences. SPSS is the world's earliest statistical analysis software, by the United States of America, Stanford University, developed by three graduate students in the late 1960s. As SPSS easy to operate, beautiful output, full-featured, reasonably priced, so quickly applied to the natural sciences, technical sciences, social sciences in various fields, the world's many influential newspapers and magazines have SPSS automatic statistical mapping, in-depth analysis of data, easy to use, full-featured and so on have given a high degree of evaluation and praise. So far SPSS software has more than 30 years of growth history. There are about 250,000 product users around the world, which are distributed in communication, medical, banking, securities, insurance, manufacturing, business, market research, scientific research and education and other fields and industries, is the world's most widely used professional statistical software. In the international academic community, there is an unwritten rule, that is, in international academic exchanges, wherever the calculation and statistical analysis completed with SPSS software, you can not have to explain the algorithm, which can be seen in its great influence and high reputation. Therefore, it is a good choice for non-statisticians.
3. Excel
It is not strictly speaking statistical software, but as a data form software, there must be a certain statistical calculation function. And where there is Microsoft Office computer, basically equipped with Excel. but note that sometimes in the installation of Office when not installed data analysis functions, it must be installed to work. Of course, the drawing function is equipped with all. For simple analysis, Excel is quite convenient, but with the depth of the problem, Excel is not so "stupid", the need to use the function, or even no corresponding method. Most of the specialized some of the statistical inference problems also need other specialized statistical software to deal with.
4. S-plus
This is the favorite software of statisticians. Not only because of its full functionality, but also because of its powerful programming capabilities, which allow researchers to develop their own programs to implement their theories and methods. It is also being "dumbed down" to gain customers. However, it is still favored by customers for its ease of programming.
5. Minitab
This software is very convenient, powerful and complete software, but also has been "foolproof", in our country is not as common as SPSS and SAS.
6. Statistica
Also powerful and complete "foolproof" software, used in our country is not as common as SAS and SPSS.
7. Eviews
This is a software that mainly deals with regression and time series.
Question 2: What are the top three statistical software There are dozens of statistical software, and I've tried just over 30.
The one with the largest number of users is SPSS, menu-operated, simple and easy to use, and powerful, so it is the most widely circulated.
SAS is the most powerful, but depends on programming, so, for senior professionals.
Eviews, time series is more powerful, is the applicable software for econometrics, also menu, easy to learn.
R software, free, the most powerful, but to rely on programming, more difficult.
STATA, that is, programmable, also available menu, very good, highly recommended.
Question 3: What are the most commonly used computer statistics software Excel is simple to learn, after loading some plug-ins can do basic statistical analysis.
R free to download, need to write their own code. Powerful.
SAS, also need to write their own code, but easier than R. Minitab, more like Excel, but more powerful.
Question 4: What are the software tools for tourism statistics will Excel, do their own ERP, CRM, OA and other business management software
10 years of 10,000 companies to prove the success of the information technology
Support for PC, cell phone, web, App, Windows, Android, IOS, Linux information integration
International Software Expo Gold Medal. Question 5: What are the main statistical tools adopted by the company? The following statistical methods are mainly used:
a Arc Arrangement Diagram: It is a diagram that follows the principle of "the key few, the secondary many" and adopts the form of bar charts, which are arranged in the order of high and low, and it is suitable for searching for the main problems or the main reasons affecting the quality;
b) Causal Diagram: It is also known as Fishbone diagram. Through the problem to be solved, comprehensively analyze the factors affecting it, and then according to the degree of priority, targeted measures to solve the problem, applicable to unqualified cause analysis;
c) questionnaire: refers to the form of the table to organize the data and rough analysis of the cause. Commonly used in the investigation of the location of quality defects, nonconforming products and reasons for investigation, quality distribution survey;
d) other applicable statistical techniques determined by the contract requirements.
Question 6: Is there any statistician ah, spss sas are very good statistical software
Question 7: What are the better data analysis software? SPSS is a relatively simple software, the school used more, you can use the menu mode with a small number of commands to edit MATLAB is often used to establish statistics and mathematical models, but it is very difficult to learn Anyway, I learned a semester flabbergasted to know a fur Finereport take into account the basic data entry and display functions, the general data sources are supported, the learning cost is relatively low, more suitable for enterprise-level users.
Question 8: What are the best software to do data analysis? There are many kinds of data analysis software, each of which is suitable for different types of personnel.
Simply put:
Excel: generally applicable, both basic and intermediate and advanced. Intermediate generally use Excel pivot table, advanced with Excel VBA.
hihidata: more niche data analysis tools. Three minutes to learn to get started directly. No need to download and install, directly online can be used.
SPSS: professional statistical software, no statistical background is difficult to use. At the same time contains data mining and other tall functions.
SAS: professional statistical software, professionals use, do not know programming or do not touch.
MARLAB: build statistical and mathematical models, but more difficult to learn, it is difficult to get started.
Eview: more niche, the establishment of some economic models is still very useful. Econometrics is often used.
A variety of BI and reporting tools: FineBI, FineReport, tableau, QlikView and so on.
Question 9: What are the statistical data analysis tools The current popular graphical visualization and data analysis software are Matlab, Mathmatica and Maple. These software is powerful enough to meet many of the needs of science and technology work, but the use of these software requires a certain knowledge of computer programming and matrix knowledge, and familiar with a large number of functions and commands.
Detailed Jin tanjurd explains while using Origin is as simple as using Excel and Word, just click the mouse and select the menu commands to do most of the work and get satisfactory results. But it is a little more powerful than excel. In general, if you can use Excel on a daily basis, and then load the macro, which has some analytical tools, but sometimes you need database software support.
Question 10: What software can be used for statistical data There are more than one tool
General small amount of data, you can choose EXCEL, SPSS
Not complex can be used with SPSS, what industry can be
The financial industry, with SAS
There are also languages, R, python language
Large big data analysis platforms, there are some analytical tools, but sometimes need database software support. Large big data analysis platform, there are Hadoop and spark
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