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With the development of social science and technology, probability and mathematical statistics have been widely used in many fields. It also includes significant knowledge, such as parameter estimation and hypothesis testing. Hypothesis testing plays an important role in plenty of fields. This article introduces the basic theory of hypothesis testing, such as null hypothesis and alternate hypothesis. Apply test statistics and the level of significance to select the rejection rejoin. There are also several advantages to using p-value in hypothesis testing. In head up display (HUD) display accuracy test, the accuracy test decision process is a crucial process. Applying hypothesis testing to the accuracy test decision process greatly improves HUD testing solutions. Meanwhile, the risks of both producers and users are also taken into consideration. In the field of automotive engineering, the detection of Max-torque and Max-power also requires hypothesis testing to ensure whether the productions are qualified. Thus, hypothesis testing improves the way of products are tested in the industry.
Xinyan Xu (Mon,) studied this question.
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