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Research has shown that even if students pass a standard introductory statistics course, they often still lack the ability to reason statistically. Many instructional techniques for enhancing the development of statistical reasoning have been discussed by several authors,although, there is often little to no quantitative analysis to give evidence that they produce effective results in the classroom.The purpose of this study was to produce quantitative data to investigate the effectivenessof a particular teaching technique in enhancing students' statistical reasoning abilities. Thestudy compared students in a traditional lecture-based introductory statistics course withstudents in a similar introductory course that adds a semester-long project. The projectwas designed to target three main focus areas found in an introductory statistics course:distributions, probability and inference. Seven sections of introductory statistics courseswere used. One section at each level served as an experimental section and used a five part project in the course curriculum. All other sections followed a typical introductory curriculum for the specific course level.All sections involved completed both a pre-test and a post-test. Both assessments were designed to measure reasoning ability targeted by the project in order to determine if using the project aids in the increased development of statistical reasoning.Additional purposes of this research were to develop assessment questions that targetstudents' reasoning abilities and to provide a template for a semester-long data analysisproject for introductory courses.Analysis of the data was completed using methods that included ANCOVA and contingency tables to investigate the effect of the project on the development of students' statistical reasoning. A qualitative analysis is also discussed to provide information on aspects of the project not covered by the quantitative analysis.Analysis of the data indicated that project participants ha

Research has shown that even if students pass a standard introductory statistics course, they often still lack the ability to reason statistically. Many instructional techniques for enhancing the development of statistical reasoning have been discussed by several authors,although, there is often little to no quantitative analysis to give evidence that they produce effective results in the classroom.The purpose of this study was to produce quantitative data to investigate the effectivenessof a particular teaching technique in enhancing students' statistical reasoning abilities. Thestudy compared students in a traditional lecture-based introductory statistics course withstudents in a similar introductory course that adds a semester-long project. The projectwas designed to target three main focus areas found in an introductory statistics course:distributions, probability and inference. Seven sections of introductory statistics courseswere used. One section at each level served as an experimental section and used a five part project in the course curriculum. All other sections followed a typical introductory curriculum for the specific course level.All sections involved completed both a pre-test and a post-test. Both assessments were designed to measure reasoning ability targeted by the project in order to determine if using the project aids in the increased development of statistical reasoning.Additional purposes of this research were to develop assessment questions that targetstudents' reasoning abilities and to provide a template for a semester-long data analysisproject for introductory courses.Analysis of the data was completed using methods that included ANCOVA and contingency tables to investigate the effect of the project on the development of students' statistical reasoning. A qualitative analysis is also discussed to provide information on aspects of the project not covered by the quantitative analysis.Analysis of the data indicated that project participants ha