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How to write teaching concepts in geometric distribution teaching design
Autonomy and initiative are the most important and advanced potentials of human beings. Only by respecting students' subjectivity can education stimulate students' subjective consciousness and cultivate students' subjective spirit and personality. I pay attention to students' autonomous learning in classroom teaching, and provide students with as much space as possible for thinking, exploring, discovering, imagining and innovating. On the other hand, I prepare for knowledge mastery from students' cognitive structure. This course adopts the teaching method of "independent inquiry" and "multimedia-assisted teaching", starting from simple examples, so that students can gradually master the definition of hypergeometric distribution and the application of formulas.

Teaching material analysis:

1, location and function

The content of this section is the content of the first section of the second chapter of senior high school mathematics elective 2-3. Through the previous study, students have mastered the basic knowledge about random variables, discrete random variables and their distribution tables, and then continue to study on this basis. A special form of hypergeometric distribution discrete random variable distribution table is a typical discrete random variable distribution table.

2. Teaching objectives:

Understanding and mastering the definition of hypergeometric distribution will help us find the probability of hypergeometric distribution, the distribution list of hypergeometric distribution and solve related practical problems. At the same time, from special to general, from concrete to abstract, from analogy to induction, mathematical thinking methods are infiltrated.

3. Teaching emphases and difficulties:

Teaching emphasis: understanding and application of hypergeometric distribution. The correct application of hypergeometric distribution is the key to solve the problem and to understand this concept.

Teaching difficulty: the construction of hypergeometric distribution model.