This study analyzed the effects of a randomization-based inference teaching methodology on students’ content mastery in an introductory statistics college course. The sample was 125 undergraduate students from Miami Dade College, a large Hispanic Serving Institution in the Southeast. A pretest-posttest nonequivalent group design was used for the study. Students in the randomization-based teaching modality received exposure to simulation activities, specifically bootstrap confidence intervals and randomization test, that aim to enhance conceptual understanding of inferential statistics, an important component of statistical literacy. The instructional strategy was designed to trigger critical reflection that confronted students with their th...
Stochastic understanding of probability distribution undergirds development of conceptual connection...
Statistics Views asked Dr Tintle to explain more about simulation-based inference in statistics educ...
Using “simulation-based inference” (SBI) such as randomization tests as the primary vehicle for intr...
This study analyzed the effects of a randomization-based inference teaching methodology on students’...
Simulation-based inference (e.g., bootstrapping and randomization tests) has been advocated recently...
The use of simulation and randomization in the introductory statistics course is gaining popularity,...
Difficulties in learning and understanding statistics in college education have led to a reform move...
The increasing amount of data in media over the last year—think of COVID—illustrates the necessity f...
The demands for a statistically literate society are increasing, and the introductory statistics cou...
This article examined the tradeoff between data analysis and simulations in the learning of statisti...
This dissertation explored the effects of two different interventions on the learning of statistics....
The use of simulation-based methods for introducing inference is growing in popularity for the Stat ...
Recommendations for the teaching and learning of introductory statistics at the tertiary level have ...
Statistical association is a key facet of statistical literacy: claims based on relationships betwee...
Research has shown that even if students pass a standard introductory statistics course, they often ...
Stochastic understanding of probability distribution undergirds development of conceptual connection...
Statistics Views asked Dr Tintle to explain more about simulation-based inference in statistics educ...
Using “simulation-based inference” (SBI) such as randomization tests as the primary vehicle for intr...
This study analyzed the effects of a randomization-based inference teaching methodology on students’...
Simulation-based inference (e.g., bootstrapping and randomization tests) has been advocated recently...
The use of simulation and randomization in the introductory statistics course is gaining popularity,...
Difficulties in learning and understanding statistics in college education have led to a reform move...
The increasing amount of data in media over the last year—think of COVID—illustrates the necessity f...
The demands for a statistically literate society are increasing, and the introductory statistics cou...
This article examined the tradeoff between data analysis and simulations in the learning of statisti...
This dissertation explored the effects of two different interventions on the learning of statistics....
The use of simulation-based methods for introducing inference is growing in popularity for the Stat ...
Recommendations for the teaching and learning of introductory statistics at the tertiary level have ...
Statistical association is a key facet of statistical literacy: claims based on relationships betwee...
Research has shown that even if students pass a standard introductory statistics course, they often ...
Stochastic understanding of probability distribution undergirds development of conceptual connection...
Statistics Views asked Dr Tintle to explain more about simulation-based inference in statistics educ...
Using “simulation-based inference” (SBI) such as randomization tests as the primary vehicle for intr...