Created by Richard W. Madsen of the University of Missouri--Columbia, the following exercise can illustrate the problem of bias in estimators to students in statistics courses. In some advanced courses an alternative estimator may be presented and properties of this estimator may be investigated via Monte Carlo studies. The author uses both text and tables to help better illustrate this concept. He uses specific data sets to give a more hands on approach to learning these theories
Recently, a large national (US) sample was used to evaluate attitudes toward statistics among underg...
Non-majors in a one-semester course and the first course for potential stat majors. Both groups are ...
The methods of teaching statistical inference vary and too often, insufficient links are made to the...
Created by Richard W. Madsen of the University of Missouri--Columbia, the following exercise can ill...
Miscellaneous examples of misleading statistical data or interpretation are presented in a form suit...
The study analyzes the extent to which student self-reported data are biased and what variables can ...
In this lecture, students consider sources of bias in reporting. Specifically, they begin with an e...
This book offers university teachers informed and practical strategies for raising awareness of bias...
International audienceMiscellaneous examples of misleading statistical data or interpretation are pr...
In three studies we looked at two typical misconceptions of probability: the representativeness heur...
It was of concern to the researcher that students were successfully completing introductory tertiary...
Much of statistics is based on the fact that while individual values vary, their pattern of variatio...
Sample selectivity bias arises in the estimation of education production functions when the process ...
Although sampling has been mentioned as part of the chance and data component of the mathematics cur...
Students studying psychology or a social science have to take courses in statistics, but students of...
Recently, a large national (US) sample was used to evaluate attitudes toward statistics among underg...
Non-majors in a one-semester course and the first course for potential stat majors. Both groups are ...
The methods of teaching statistical inference vary and too often, insufficient links are made to the...
Created by Richard W. Madsen of the University of Missouri--Columbia, the following exercise can ill...
Miscellaneous examples of misleading statistical data or interpretation are presented in a form suit...
The study analyzes the extent to which student self-reported data are biased and what variables can ...
In this lecture, students consider sources of bias in reporting. Specifically, they begin with an e...
This book offers university teachers informed and practical strategies for raising awareness of bias...
International audienceMiscellaneous examples of misleading statistical data or interpretation are pr...
In three studies we looked at two typical misconceptions of probability: the representativeness heur...
It was of concern to the researcher that students were successfully completing introductory tertiary...
Much of statistics is based on the fact that while individual values vary, their pattern of variatio...
Sample selectivity bias arises in the estimation of education production functions when the process ...
Although sampling has been mentioned as part of the chance and data component of the mathematics cur...
Students studying psychology or a social science have to take courses in statistics, but students of...
Recently, a large national (US) sample was used to evaluate attitudes toward statistics among underg...
Non-majors in a one-semester course and the first course for potential stat majors. Both groups are ...
The methods of teaching statistical inference vary and too often, insufficient links are made to the...