What are the advantages and disadvantages of biological experiment design and statistics teaching?

The chapters are closely related and well organized, and the biostatistics teaching content of experimental design is closely related, interlocking and simple. For example, in undergraduate textbooks, commonly used statistical terms, data collation, statistical description of materials and commonly used probability distribution all belong to descriptive statistics, which is the theoretical basis; Hypothesis test, variance analysis, X2 test, regression and correlation analysis are the core contents of statistics and belong to the application part of theory. Descriptive statistics and theoretical application provide corresponding principles and experimental analysis methods for experimental design. If students don't understand descriptive statistics, especially the commonly used probability distribution, it will be difficult to understand the hypothesis testing part in the following chapters, resulting in less understanding and little interest.

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There are many formulas, calculations, contents and abstract concepts, which are difficult to understand and remember. Experimental design biostatistics is a professional basic course and an indispensable tool for animal science, animal medicine and biological research. In the process of learning, many formulas and calculations are involved, which is difficult to remember.