In this paper,a great many examples of misusing statistics analyzing the quantitative data are unveiled. Obviously,it is extremely important for people to process the quantitative data correctly by checking the preconditons of data and discriminating the types of experimental designs. It is necessary for researchers to learn more knowledge of how to analyze the quantitative data rationally, so it is important to develop qualified text book to support the education.

In this paper,a great many examples of misusing the analysis of the linear correlation and regression are unveiled.Obviously,it is extremely important for people to apply the linear correlation and regression correctly through understanding and mastering the basic concept and approach in this field.It is necessary for a great of practical workers to learn the knowledge on how to perform the analysis of the linear correlation and regression rationally,since people need this kind of konowledge and the textbooks of statistics are not able to meet the needs.

In this paper,many examples of misusing statistics analyzing the qualitative data are unveiled.Obviously,it is extremely important for people to process the qualitative data correctly by checking the types of contingency tables and the preconditions of data.

There are a lot of statistical errors in the papers in biomedical journals.The reason is many authors of those papers don't know how to make correct experimental designs and to select suitable statistical methods to analyze different data.In fact,they lack the mind on statistics.The author of this paper finds out the reasons in many statistical errors by revealing variety of cases and offers the triple-type theory of statistics which can be used to solve the problems of misusing statistics.

It is very easy for people to perform the expression and description of statistical data. However, many errors in those aspects are of frequent occurrence in the journals, such as unclear statistical tables, incorrect statistical graphs, misusing relative number and indices of average and variation. In order to improve the quality of academic papers, people should pay much more attention to the quality of expression and description of statistical data.

The core of experimental designs is introduced in this paper. Since some people often fail to fellow the principles of control and randomization in the experimental designs and clinical trials, a great many examples with wrong statistics in medical research are illustrated. It will help clinical doctors to improve the quality of the experimental designs through discrimination and explanation of those examples.