首页> 外文期刊>Journal of Natural Resources and Life Sciences Education >Counting Grass as a Rich Introduction to Population Estimation
【24h】

Counting Grass as a Rich Introduction to Population Estimation

机译:数草作为丰富的人口估算入门

获取原文
获取原文并翻译 | 示例
       

摘要

Undergraduate students often have trouble grasping, concepts of statistical inference and sampling. The activity described here is designed to help students connect their intuition about estimating population sizes to statistical terminology and procedures, and to shed light on some of their misconceptions about sampling techniques. On the first day of an undergraduate Natural Resources Measurements course, students are given 45 minutes to estimate the number of blades of grass covering a large field using rulers and measuring tape. This simple activity is a microcosm of what students will be doing throughout the course, and it provides a basis for rich discussion of many aspects of statistical sampling and population estimation, including random and stratified sampling, variability, error, bias, and decisions about plot and sample size. The activity can also be used to highlight professional skills, such as collaboration and the need for clear communication, and begin the transformation from thinking like students to thinking like professionals. Instructors can easily vary the emphasis on particular topics, depending on course goals and serendipity during the activity. Of significant pedagogical value, this activity is referred to throughout the semester as the intuitive base for statistical concepts that might otherwise get lost in terminology and symbols, and during discussion of professional development.
机译:本科生通常难以掌握统计推断和抽样的概念。这里描述的活动旨在帮助学生将有关估计人口规模的直觉与统计术语和程序联系起来,并阐明他们对抽样技术的一些误解。在自然资源测量本科课程的第一天,给学生45分钟的时间,用尺子和卷尺估算覆盖大片土地的草叶数量。这项简单的活动是学生在整个课程中将做的事情的缩影,它为统计抽样和总体估计的许多方面提供了丰富的讨论基础,包括随机抽样和分层抽样,变异性,误差,偏倚以及关于情节的决定和样本量。该活动还可用于强调专业技能,例如协作和清晰沟通的需要,并开始从像学生一样思考转变为像专家一样思考。教师可以根据课程目标和活动中的偶然性轻松改变对特定主题的重视程度。在整个学期中,此活动具有重要的教学价值,是统计概念的直观基础,否则可能会丢失术语和符号以及在专业发展的讨论中丢失这些统计概念。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号