The paper data provides a theoretical basis for your argument. Self-edited papers belong to academic fraud. When you meet an expert tutor in the defense session, you can find data problems at a glance, unless you are familiar with every parameter in the experimental data, understand the meaning of each parameter, and respond in time to the reasons why the results are different because of parameter changes.

If you make up your own data, there will be problems whether the defense can pass or not. Do you think the teacher can't see it if you make it up? Moreover, this is a very irresponsible behavior for yourself. If the defense fails, it will affect graduation and the follow-up postgraduate entrance examination and job search.

Now the competition is so fierce, what is the involution? Don't say undergraduate or master students, doctoral students are hard to compete. Great doctors have taken to the streets. If the undergraduate thesis defense can't get the diploma, what should I do next? It is impossible to move, unless there is a mine at home, you can go home directly to inherit the family business.

Similarly, plagiarism is not recommended for undergraduate graduation thesis. Some authors think they are smart enough to translate Chinese into English, or English into Chinese, thinking that they can pass the duplicate check. In fact, this is impossible. HowNet has a Chinese-English translation detection system.

This can't pass the double check at all. Some authors are even more dishonest. He told other people's papers in his own words, thinking that it would be all right. Actually, this is plagiarism. As long as plagiarism reaches a certain level, even if it is a small proportion, it is better to say that this proportion is in trouble.

Data analysis method of undergraduate graduation thesis;

1, descriptive statistics. Descriptive statistics is a method of sorting out and analyzing data through charts or mathematical methods, and estimating and describing the relationship between data distribution, digital characteristics and random variables. Descriptive statistics can be divided into three parts: centralized trend analysis, decentralized trend analysis and correlation analysis.

2. Correlation analysis. Correlation analysis is a statistical analysis method to study the correlation between two or more random variables in the same position. For example, between a person's height and weight; The correlation between relative humidity in the air and rainfall is a correlation analysis problem.

3. Analysis of variance. By analyzing the contribution of variation from different sources to the total variation, we can determine the influence of controllable factors on the research results. The research sources must be independent of each other and the total variance is equal.

4. Hypothesis test. Parameter test: its basic principle is to test some main parameters when the overall characteristics are known. Nonparametric test: nonparametric test is a method to infer the general distribution pattern by using sample data when population variance is unknown or little known. The main methods are: chi-square test of population distribution, binomial distribution test, single sample K-S test and so on.