Random sampling and random allocation are essential processes in the practice of inferentialstatistics. These processes ensure that all members of a population are equally likely to beselected, and that all possible allocations in an experiment are equally likely. It is thesecharacteristics that allow the validity of the subsequent calculations that use probabilisticreasoning. This paper suggests that despite the importance of these processes, students maypoorly understand the characteristics of these processes, and the reasons for them. The paperconcludes with suggestions for the improvement of teaching these topics
Mathematical Statistics describes the mathematical underpinnings associated with the practice of sta...
Textbook authors admonish students to check on the comparability of two randomly assigned groups by ...
This report presents the findings of a study on the relationship between pre-service mathematics tea...
Random sampling and random allocation are essential processes in the practice of inferentialstatisti...
International audienceThe ubiquity of randomness and the consequent need to understand random phenom...
In a study of novice teachers ’ I investigate the conception of randomness among teachers college tr...
There has been widespread concern expressed by members of the statistics education community in the ...
This paper suggests a way to include probability ideas in an introductory "service " cours...
Understanding randomness is essential for modern life, as it underpins decisions under uncertainty. ...
Nearly all introductory statistics textbooks include a chapter on data collection methods that inclu...
Although statistical techniques are employed in virtually every scientific discipline, there are sti...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Recently, a large national (US) sample was used to evaluate attitudes toward statistics among underg...
The use of simulation and randomization in the introductory statistics course is gaining popularity,...
The need for more effective teaching of probability is well established in the literature. Probabili...
Mathematical Statistics describes the mathematical underpinnings associated with the practice of sta...
Textbook authors admonish students to check on the comparability of two randomly assigned groups by ...
This report presents the findings of a study on the relationship between pre-service mathematics tea...
Random sampling and random allocation are essential processes in the practice of inferentialstatisti...
International audienceThe ubiquity of randomness and the consequent need to understand random phenom...
In a study of novice teachers ’ I investigate the conception of randomness among teachers college tr...
There has been widespread concern expressed by members of the statistics education community in the ...
This paper suggests a way to include probability ideas in an introductory "service " cours...
Understanding randomness is essential for modern life, as it underpins decisions under uncertainty. ...
Nearly all introductory statistics textbooks include a chapter on data collection methods that inclu...
Although statistical techniques are employed in virtually every scientific discipline, there are sti...
Due to the character of the original source materials and the nature of batch digitization, quality ...
Recently, a large national (US) sample was used to evaluate attitudes toward statistics among underg...
The use of simulation and randomization in the introductory statistics course is gaining popularity,...
The need for more effective teaching of probability is well established in the literature. Probabili...
Mathematical Statistics describes the mathematical underpinnings associated with the practice of sta...
Textbook authors admonish students to check on the comparability of two randomly assigned groups by ...
This report presents the findings of a study on the relationship between pre-service mathematics tea...