What Is Quantitative Statistical Analysis?

Quantitative analysis is one way to identify hazards. Originally a branch of analytical chemistry, the main goal was to determine the content of each component in a substance. According to the different methods used, it is divided into three categories: gravimetric analysis, volume analysis, and instrument analysis. Due to the difference in the amount of the analysis sample and the measured component, it can be divided into constant analysis, semi-micro analysis, micro analysis, ultra-micro analysis and so on. The post-promotion is based on the premise of clearly dividing the type of substance, that is, after qualitatively identifying the substance, the strength, stiffness, and range change indicators of the substance are specifically analyzed. Analyzing substances in terms of "quantity" is suitable for analyzing indicators such as the probability, frequency and degree of loss of dangerous losses. ^[1]

Main features of quantitative analysis

Empirical, clear and objective.

Quantitative analysis

Qualitative analysis and quantitative analysis should be unified and complementary; qualitative analysis is the basic premise of quantitative analysis. Quantitative without qualitative is a kind of blind and worthless quantification. Quantitative analysis makes qualitative analysis more scientific and accurate. It can help qualitative analysis to draw broad and in-depth conclusions.

Quantitative analysis is a method of establishing a mathematical model based on statistical data, and using the mathematical model to calculate the indicators of the analysis object and their values.

Qualitative analysis is a method that uses the intuition and experience of the analyst, and the past and present continuity of the object to be analyzed, and the latest information to judge the nature, characteristics, and laws of development and change of the object. In comparison, the former method is more scientific, but requires deeper mathematical knowledge, while the latter method is rough, but it is more suitable when the data is insufficient or the analyst's mathematical foundation is weak, and it is more suitable for general Investors and economic workers. However, it must be pointed out that although the mathematical analysis requirements of the two analysis methods are high or low, they cannot distinguish between qualitative analysis and quantitative analysis. In fact, modern qualitative analysis methods also need to use mathematical tools for calculations, while quantitative analysis must be based on qualitative predictions. The two complement each other. Qualitative is the basis of quantification, quantitative is the qualitative embodiment, and the two are combined and used flexibly. For best results.

Different analysis methods have different characteristics and performances, but all have one thing in common, that is, they generally analyze and explain problems through comparison. It is through the comparison of various indicators or the comparison of the same indicator in different periods that it reflects the quantity, the quality of the quality, the level of efficiency, the size of consumption, the speed of development, etc., and can be used as identification and judgment. Substantiated information. ^[3]

Qualitative analysis

This is a common case of conclusions in component analysis experiments, and its definition is that it can basically determine the composition of the test object and also has a certain reference value in quantification, but its value is not accurate (only for reference).