Demonstration device of probability statistical teaching

Abstract

The invention relates to a demonstration device of probability statistical teaching. The demonstration device comprises a box body. A fixed shaft which is fixed on the back wall of the box body and perpendicular to the back wall of the box body is arranged in a cavity body of the box body. A rotor formed by connecting a swinging arm and a magnetic metal ball sleeves the fixed shaft. An electromagnetic coil arranged on the fixed shaft is arranged on the box body. Infrared sensing counters are respectively arranged on left and right side walls in the cavity body of the box body, and are accessed into an MCU module through circuits. The MCU module controls the infrared sensing counters to carry out counting accumulation operation on effective signals. According to the invention, by sleeving the fixed shaft in vertical symmetrical bodies, two results in a random event are simulated through random left and right rotation generated under the function of self gravity, so the meaning of the random event is vividly and directly expressed, tests can be carried out for many times quickly and conveniently and probability statistics can be performed quickly and conveniently.

Description

technical field [0001] The invention relates to a mathematical model, in particular to a teaching demonstration device of probability and statistics. Background technique [0002] In mathematics teaching, probability and statistics are often difficult for students to understand because of their abstraction, and the probability event demonstration model provides an intuitive graphic or principle display for mathematics teaching. At present, most of the probability and statistics demonstration models used in mathematics teaching are traditional coin-tossing models or ball-dropping demonstration models. Such models are not only large in size and heavy in weight, but also cumbersome to operate, and their statistical methods are mostly relatively Originally, the method of manual statistics is mostly used, and the statistical results are prone to errors; at the same time, due to its inconvenient operation, a lot of class time is wasted in the statistics of multiple random events. ...

AI Technical Summary

Problems solved by technology

At present, most of the probability and statistics demonstration models used in mathematics teaching are traditional coin-tossing models or ball-dropping demonstration models. Such models are not only large in size and heavy in weight, but also cumbersome to operate, and their statistical methods are mostly relatively complex. Original, manual statistics are often used, and the statistical results are prone to errors; at the same time, due to its inconvenient operation, a lot of class time is wasted in the statistics of multiple random events

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