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所在平台: Udemy |
课程主页: https://www.udemy.com/course/practice-questions-in-biostatistics/
课程评论：没有评论
**课程名称：生物统计学练习题** **课程概述：** 本课程是一门专注于生物统计学知识应用的多项选择题练习测试。生物统计学是统计学中研究生命体相关数据的分支，生物统计学家通过实验设计、数据分析、结果评估和解读，帮助研究人员解决医学、生物学和公共卫生领域的关键研究问题。 本练习测试旨在提供实践机会，让学习者运用在课堂上学到的理论知识。课程内容涵盖了描述性统计与推断性统计、假设检验与显著性检验、概率与概率分布（二项分布、泊松分布和正态分布，及其在生物学中的应用）、数据呈现与表示、生命统计、生存统计和生存回归（Cox回归）等关键主题。 **课程特色：** * **“边做边学”的模式：** 提供包含详细解释的答案。 * **内容全面：** 覆盖描述性统计、推断性统计、假设检验、显著性检验、概率与概率分布（二项、泊松、正态）、数据呈现、生命统计、生存统计及Cox回归等。 * **问题数量：** 共计225道选择题，分为两部分：练习测试1（125道题）和练习测试2（100道题）。 **目标学员：** 本课程特别适合正在学习生命科学、生物技术、公共卫生、生物医学科学等专业，并将生物统计学作为课程一部分的本科生和研究生。
Biostatistics is the branch of statistics that deals with data relating to living organisms. Biostatistician help researcher unravel pressing research question in medicine, biology and public health through design of experiment, analysis, evaluation and interpretation of results. Keeping the essence of bio statistics course, this practice test focuses on application of statistics in biology. The tested is presented in multiple choice question format. This is a multiple choice question practice test in bio-statistics. The purpose of this test is to provide an ample opportunity to apply the theoretical concept learned in classrooms. This test is ideal for undergraduates and graduate students studying life sciences, biotechnology, public health, biomedical sciences etc. having bio-statistics as a subjects in their course. This practice test course contains 225 questions which is divided into two sets. Practice test 1 has 125 MCQs and Practice test 2 has 125 questions. The key highlights of this practice test are:·Learn by doing format It contains answer to questions with explanation· A complete coverage of questions on descriptive and inferential statistics, hypotheses testing and Test of significance.· Complete coverage of probability and probability distribution (Binomial, Poisson, and Normal distribution) with respect to application in biology.· Questions on data presentation and representation· Questions on vital statistic, survival statistics and survival regression (Cox regression).
