Jim Ridgway
Jim Ridgway
The Covid epidemic has provided an excellent example of the need to call on a wide variety of statistical tools to address a global problem, and can give students insights into some of the dimensions of data science. Here, we describe some ...
Some teaching resources using R with illustrative examples exploring COVID-19 data [0.03%]
一些使用R语言的在线教学资源助力COVID-19数据的研究与探索
Arthur Berg,Nour Hawila
Arthur Berg
This article is presented in two parts: in the first part we discuss the use of R and R-related tools when implementing a data science curriculum in the classroom and direct readers to helpful R resources in education, and in the second par...
Satisfaction with online teaching of medical statistics during the COVID-19 pandemic: A survey by the Education Committee of the Italian Society of Medical Statistics and Clinical Epidemiology [0.03%]
COVID-19大流行期间对医学统计在线教学的满意度评价：意大利医学统计与临床流行病学学会教育委员会的调查
Matteo Rota,Giulia Peveri,Margherita Fanelli et al.
Matteo Rota et al.
On May 2020, after 2 months of online teaching with no face-to-face lectures, the Education Committee of the Italian scientific Society of Medical Statistics and Clinical Epidemiology conceived an online survey to assess satisfaction of Ita...
Laura J Bonnett,Simon R White
Laura J Bonnett
We describe an activity that introduces students to population modelling, enables them to use estimates obtained from a sample to infer back to the population, and understands how the findings are translatable via penguins and their poo! ...
Laura J Bonnett,Simon R White
Laura J Bonnett
Probability and chance are essential concepts, not just in statistics but in real life. We present an adaptable activity which investigates what we mean by bias, how we can identify bias, and how we can use it to our advantage! ...
Simon R White,Laura J Bonnett
Simon R White
The statistical concept of sampling is often given little direct attention, typically reduced to the mantra "take a random sample". This low resource and adaptable activity demonstrates sampling and explores issues that arise due to biased ...
Randomization-Based Statistical Inference: A Resampling and Simulation Infrastructure [0.03%]
基于随机化的统计推断：重抽样和模拟基础架构
Ivo D Dinov,Selvam Palanimalai,Ashwini Khare et al.
Ivo D Dinov et al.
Statistical inference involves drawing scientifically-based conclusions describing natural processes or observable phenomena from datasets with intrinsic random variation. There are parametric and non-parametric approaches for studying the ...
Technology-enhanced Interactive Teaching of Marginal, Joint and Conditional Probabilities: The Special Case of Bivariate Normal Distribution [0.03%]
技术增强的交互式教学：边际、联合和条件概率以及二元正态分布的特殊案例
Ivo D Dinov,Scott Kamino,Bilal Bhakhrani et al.
Ivo D Dinov et al.
Data analysis requires subtle probability reasoning to answer questions like What is the chance of event A occurring, given that event B was observed? This generic question arises in discussions of many intriguing scientific questions such ...
Prakash Gorroochurn
Prakash Gorroochurn
The correlation coefficient is commonly used to indicate the quality of fit in regression. This practice is questionable.
Ivo D Dinov,Nicolas Christou
Ivo D Dinov
The Statistics Online Computational Resource (www.SOCR.ucla.edu) provides one of the largest collections of free Internet-based resources for probability and statistics education. SOCR develops, validates and disseminates two core types of ...