Yao Guo and Yingying Xing. Fitting the Distribution of College Students English Test Scores Based on the Mixed Normal Distribution. Dynamic Systems and Applications 29 (2020) No. 5, 1948 – 1958
https://doi.org/10.46719/dsa202029528
ABSTRACT.
In probability statistics, the compound distribution is the probability distribution of a random variable derived from a set of other random variables. First, the probability is selected from a specific possibility set according to the random variable selection, and then the random chosen variable value for these is realized. College English courses require non-English significant courses. There is a clear relationship between the computer infrastructure of a college English course learning course student. Evaluating test results of test education, learning, and feedback results, routine statistical analysis of test results is required. The benefits of the existing method can be explored in terms of linear regression analysis CET- 4 scores, and the relationship between exam scores, exam score analysis/college English. A linear regression analysis was introduced to draw a scatter plot and model engaging in direct regression studies between college English course exam scores and the CET-4 score. Eight Grade Data CET-4 scores closely related to college English exam scores. In the proposed work, Normal Distributed Analysis College students are mixed with studying English exam scores. It shows 560 results in four core subjects that are equally biased and spread out on the right side of English exam scores for college students. Therefore, it will be decided to explore the system further. This trend has generally been proven to lead to overall high ratings and the corresponding result. Analysis and reflection, rather than more profound issues in the evaluation and distribution process, are more important than the final test results. Random variables are used based on the probability distribution of mixed nature distribution of English exam marks for college students. Diverse nature is used to match the placement.
Keywords: Test Analysis, Normality Analysis, Normality Distribution.