Question 2: What are the commonly used statistical indicators? Statistical indicators can be divided into total indicators, relative indicators, average index and variation indicators according to their contents or numerical expressions.
Statistical indicators can be divided into quantitative indicators and quality indicators according to the different nature of the quantitative characteristics of the overall phenomenon they reflect.
Question 3: What is the relationship between parameters and variables in statistics? Parameters are relative to the overall distribution, and the number of features reflecting the basic information of the population is called overall parameters, which is called parameters for short. Generally speaking, the parameters concerned by researchers are the population mean and population standard deviation.
Variables refer to the characteristics of the observed unit, and refer to the quantitative signs and all statistical indicators of variables. For example, the number of students in school, commodity sales, product quality level and so on. They are all variables.
Question 4: In Excel, how to count which data appears and how many times? Single conditional statistical function
=COUNTIF(A:A, you)
=COUNTIF (search area, search value)
Question 5: What are the commonly used statistical software?
Probability theory and mathematical statistics is a practical course. However, at present, in our country, most of them focus on the introduction of basic methods and ignore the teaching of statistical experiments. This is not conducive to improving students' innovative spirit and practical ability, and also makes the teaching of this course seem boring. To this end, we introduce some commonly used statistical software, so that students can have a preliminary understanding of statistical software and lay a preliminary foundation for applying statistical methods to solve practical problems in the future.
I. Types of statistical software
1. Scandinavian Airlines
It is the most popular large-scale statistical analysis system in the world at present, and is known as the standard software of statistical analysis. Although it is expensive, 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 customer groups and more than 3 million direct users in more than 65,438+000 countries and regions around the world. In China, National Information Center, National Bureau of Statistics, Ministry of Health and Chinese Academy of Sciences are all big users of SAS system. Although I have tried to be "stupid", I still need some training to use it. Therefore, the statistical software is mainly suitable for statisticians and researchers.
2. Additional power supply device (abbreviation of Supplementary Power Supply Set)
As a statistical software toolkit, SPSS is widely used in social sciences. SPSS is the earliest statistical analysis software in the world, which was developed by three graduate students of Stanford University in the late 1960s. Because of its simple operation, beautiful output, complete functions and reasonable price, SPSS has been rapidly applied to various fields of natural science, technical science and social science. Many influential newspapers and magazines in the world have highly praised and praised SPSS for its automatic statistical drawing, in-depth data analysis, convenient use and complete functions. So far, SPSS software has a history of more than 30 years. The products have about 250,000 users in the world, and are distributed in many fields and industries such as communication, medical care, banking, securities, insurance, manufacturing, commerce, market research, scientific research, education, etc. It is the most widely used professional statistical software in the world. There is an unwritten rule in international academic circles that in international academic exchanges, there is no need to explain the algorithm for all calculations and statistical analysis completed by SPSS software, which shows its great influence and high reputation. So it is a good choice for non-statisticians.
Step 3 be good at
Strictly speaking, it is not a statistical software, but as a data table software, it must have certain statistical calculation functions. And all computers with Microsoft Office are basically equipped with Excel. However, it should be noted that sometimes the function of data analysis is not installed when installing Office, so it must be installed. Of course, all drawing functions are available. For simple analysis, Excel is convenient, but with the deepening of the problem, Excel is not so "stupid" to use functions, or even has no corresponding methods at all. Most professional statistical inference problems need other professional statistical software to deal with.
4.S-plus
This is the favorite software of statisticians. Not only because of its complete functions, but also because of its powerful programming function, researchers can write their own programs to realize their own theories and methods. It is also a "flicker" to win customers. But it is still favored by customers because of its convenient programming.
5. Mini label
This software is very convenient, powerful, complete and "stupid", not as common as SPSS and SAS in China.
6. statistics a
It is also a powerful and complete "flicker" software, which is not as common as SAS and SPSS in China.
7.Eviews
This is a software that mainly deals with regression and time series.
Question 6: What is statistical data collation? Data collation is a process of checking, classifying and coding the data collected in research activities such as investigation, observation and experiment. It is the basis of statistical analysis of data.
Question 7: What are the indicators in statistics? What is symbolic index reflects the quantitative characteristics of statistical population, and symbols reflect the characteristics of the whole unit.
Indicators are divided into quantitative indicators and quality indicators.
Quantitative indicators reflect the overall scale or level, such as population, output, cultivated land area, etc.
Quality indicators reflect the overall internal quality, such as product qualification rate and labor productivity.
Marks are divided into quality marks and quantity marks.
Quality marks, such as gender, place of origin, etc. (Can only be expressed in words)
Quantity signs, people's age, height, employee's salary, etc. (expressed in quantity)
If you agree with my answer, please adopt it in time.
~ If you agree with my answer, please click the button "Adopt as Satisfied Answer" in time.
~ ~ friends who ask questions on mobile phones can only be satisfied with the evaluation points in the upper right corner of the client.
~ Your adoption is my motivation.
~~O(∩_∩)O, remember to praise the adoption and help each other.
Question 8: What are the statistical analysis methods of big data? Burt's Bee Network Information Radar is a product that collects network information directionally. It can collect and update website data set by users, achieve flexible network data collection goals, and provide a basis for Internet data analysis.
Science and technology microscope is a big data text mining tool, which refers to the use of computer processing technology to extract valuable information and knowledge from text data, including text classification, text clustering, information extraction, entity recognition, keyword index, abstract and so on. The text mining software based on Hadoop MapReduce can realize the mining and analysis of massive texts. An important application field of CKM is intelligent comparison, which is widely used in patent novelty retrieval, scientific novelty retrieval, document duplicate retrieval, copyright protection, manuscript traceability and other fields.
The scientific and technological data cube to be discovered is a visual relationship mining tool for big data, and its presentation methods include relationship diagram, time axis, analysis diagram, list and other expressions, providing users with all-round information presentation methods.
Question 9: What types of statistical data can be divided into? According to different classification rules, statistical data can be divided into different types. There are three main classification rules here.
(1) Statistical data can be divided into classified data, sequential data and numerical data according to different measurement scales. Classified data refers to non-numerical data that can only belong to a certain category. For example, gender is classified data. Sequential data is non-numerical data that can only belong to ordered categories (such as product grades). Digital data is the observed value measured by digital scale, and it is the result of measuring things with natural or measurement units.
(2) According to the collection method of statistical data, it can be divided into observation data and experimental data. Observation data is data collected through investigation or observation, which is obtained without human control. Almost all statistical data about social and economic phenomena are observation data. The data collected by controlling the experimental object in the experiment is called experimental data.
(3) According to the relationship between the described object and time, statistical data can be divided into cross-sectional data and time series data. Data collected at the same or almost the same time point are called cross-sectional data. Data collected at different times are called time series data.