Sampling survey refers to an investigation method that extracts some units from all the units of the research object for investigation and analysis, and infers the quantitative characteristics of the whole population based on the quantitative characteristics of these units. Among them, all units of the research object are called "population";
A group of objects extracted from the population and actually investigated is called a "sample". In sampling survey, the determination of sample number is a key issue.
2. Line chart
Line charts and line charts with data markers are used to show trends that change with time or ordered categories, and data points may or may not represent a single data value. Line charts are especially useful when there are many data points and their display order is important.
3. Induction
Inductive reasoning is a kind of reasoning from individual to general. From a certain point of view about individual things to a larger point of view, the general principle and the explanation method of the principle are deduced from special concrete examples.
What is in nature and society generally exists in the individual and the special, and exists through the individual. Generally exists in specific objects and phenomena. Therefore, only by knowing the individual can we know the general.
4, deductive method
Deductive reasoning is a reasoning method from general to special. Contrary to induction. The connection between reasoning premise and conclusion is inevitable, and it is a kind of conclusive reasoning.
Using this method to study problems, we must first correctly grasp the general principles and principles as guiding ideology or basis; Secondly, we should fully understand the actual situation and particularity of the topics and problems to be studied; Then we can deduce the conclusion that general principles are applied to specific things.
Extended data:
From a business point of view, the discovery of previously unknown statistical analysis patterns or trends provides very valuable insight for enterprises. Data sorting technology can provide a certain degree of predictability for the future development of enterprises. Data sorting technology can be divided into three categories: clustering, classification and prediction.
Clustering technology is to gather information in an unordered way. An example of clustering is the analysis of group business customers with unknown characteristics. By inputting relevant information into this example, the characteristics of customers can be well defined.
Classification technique is to specify an object to determine a set. Collections are usually formed by the above techniques. One example is to divide customers into specific sales groups according to income level.
Prediction technology is to input the known values of some objects and directories and apply these values to another similar set to determine the expected values or results. For example, a group of people wearing helmets and epaulettes belong to the football team, so we also think that another group of people wearing helmets and epaulettes belong to the football team.