Steps of statistical analysis

Statistical analysis often refers to the process of sorting, classifying and interpreting the collected relevant data. The basic steps of statistical analysis include: 1. Collect data; 2. Organize data; 3. Analyze data.

#Statistical analysis often refers to the process of sorting, classifying and interpreting the relevant data collected. The basic steps of statistical analysis include: 1. Collect data; 2. Organize data; 3. Analyze data. We will expand on the description of the basic steps of statistical analysis methods in the article.

Statistical analysis can be roughly divided into the following three steps:

1. Collect data

Collecting data is the premise and basis for statistical analysis . There are many ways to collect data. Direct data can be obtained through experiments, observations, measurements, surveys, etc., and indirect data can also be obtained through literature retrieval, reading, etc.

In the process of collecting data, in addition to paying attention to the authenticity and reliability of the data, special attention must be paid to distinguishing two types of data of different natures: One is continuous data, also called measurement data, which refers to the data obtained through actual measurements. The second is discontinuous data, also called counting data, which refers to data obtained by counting attribute points such as categories and levels of things.

2. Organizing data

Organizing data is the process of classifying and summarizing the collected data according to certain standards.

Since most of the collected data are disordered, scattered, and unsystematic, before entering statistical calculations, the data need to be verified according to the purpose and requirements of the research, and the untrue parts are eliminated. Grouping, summarizing or listing can simplify, visualize and systematize the original data, and initially reflect the distribution characteristics of the data.

3. Analyzing data

Analyzing data refers to the process of drawing conclusions through statistical operations on the basis of sorting data. It is the core and key of statistical analysis. .

Data analysis can usually be divided into two levels: the first level is to use descriptive statistics to calculate externally representative indicators that reflect the central tendency, degree of dispersion and correlation strength of the data;

The second level is to use inferential statistics to process data based on descriptive statistics, use sample information to infer the overall situation, and analyze and speculate on the overall characteristics and patterns.

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