What are the commonly used data analysis methods in statistics?

Descriptive statistics is a method of sorting out and analyzing data through charts or mathematical methods, and estimating and describing the relationship between data distribution, digital characteristics and random variables. Descriptive statistics can be divided into three parts: centralized trend analysis, divorced trend analysis and correlation analysis.

2. Hypothesis test

Parameter test: parameter test is to test some main parameters (such as mean, percentage, variance, correlation coefficient, etc.). ) When the population distribution is known (generally, the population is required to obey the normal distribution).

Nonparametric test does not consider whether the population distribution is known, and it is often not aimed at the population parameters, but at some unary assumptions of the population (such as whether the location of the population distribution is the same and whether the population distribution is normal).

3. A convincing analysis

Introduction: Reliability is reliability, which refers to the consistency of the results when the same object is measured repeatedly by the same method.

Reliability indicators are mostly expressed by correlation coefficient, which can be roughly divided into three categories: stability coefficient (cross-time consistency), equivalence coefficient (cross-form consistency) and internal consistency coefficient (cross-project consistency). There are four main methods of reliability analysis: retest reliability method, repeated reliability method, semi-reliability method and? Reliability coefficient method.