In this paper, we introduce a new four parameter continuous model, called the beta compound Rayleigh (BCR) distribution that extends the compound Rayleigh distribution. Basic properties of the proposed distribution such as; mean, variance, coefficient of variation, raw and incomplete moments, skewness, kurtosis, moment and probability generating functions, reliability analysis, Lorenz, Bonferroni and Zenga curves, Rényi of entropy, order statistics and record statistics are investigated. We obtain the maximum likelihood estimates and the observed information matrix for the model parameters. Two real data sets are used to illustrate the usefulness of the new model.

Background: Student as teacher programs are training courses designed aiming to motivate students in medical education and provide them with the fundamental expertise of the teachers. Objective: The aim of the current study was to develop a framework for introducing "Student as Teacher" course as one of the essential training programs for all of the undergraduate students as a step to enable the future graduates to be professional educators. Subjects and methods:The present study is a descriptive/quasi-experimental one that included 37 first-year medical students assessing the difference in their knowledge, skills and attitude before and after the implementation of the "Student as Teacher" course at FOM-SCU. A 6-weeks course was designed and implemented addressing several topics. Students' satisfaction regarding the course was also assessed through structured self-administered questionnaires that evaluate the course. Results: A significant difference between the students' scores in the pre and post-tests was detected and there was 100% satisfied with the course. Conclusion: There is a need to include a "Student as Teacher" course in the undergraduate curriculum at the Faculty of Medicine, Suez Canal University as it improves the knowledge, skills and attitude of the first-year students regarding their teaching skills as a significant difference between their scores in the pre and post-tests was detected.

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