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Forestry Statistics of the Higher Education Reform Course knowledge
Forestry Statistics of the Higher Education Reform Course knowledge
Paper Keywords: statistical evaluation methods Teaching Abstract: The culture in the 21st century forestry applications talents as the goal of agricultural and forestry statistics based courses teaching content, teaching methods, teaching methods and student learning assessment methods for a series of reforms and thinking, the results show that: in teaching should be targeted different professions, the implementation of different teaching requirements; should teach students how to practice proper statistical problem as a problem, and should train students to use statistical theory and statistical analysis software to solve practical problems.
Statistics courses is the most advanced forestry institutions offered a cross-professional, practical, strong basic course. Including probability theory and mathematical statistics, applied probability and statistics, experimental design and statistical analysis, and multivariate statistical analysis. This courses is not only a lot of follow-up professional courses (such as measuring tree learning) learning foundation, and, because providing a wealth of statistical data analysis methods, almost all of the real sector and the research has its own application. scientific, economic, biological, forestry, medicine, environment, engineering, management, industrial and agricultural production are the main areas of statistical applications. According to the needs of forestry development, forestry institutions of higher statistics for the current class of problems in teaching, to make some suggestions to for reference.
1. Status and Problems Historically, people used to the probability and statistics as a branch of mathematics, pure mathematics which method of discipline. This results in teaching, teachers often pay more attention to the systematic and logical course, emphasis on the concept and explain the theoretical knowledge from practical applic
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