Introduction to Statistical Investigations

By N. Tintle. 2014

62 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/21d331f823538e8188114c98c328b148b42044df

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. George W. Cobb
2. Kylie Topliff
3. V. Holmes
4. J. VanderStoep
5. Todd Swanson
6. N. Tintle
7. Eugene D. Hahn

Citations in the corpus

• Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up (2015, methodology): “Although current practice now more often relies on randomization-based methods, few beginning courses make these ideas central (see Lock et al. 2012; Tintle et al. 2014 for just two of the few recent exceptions); current practice often relies on the bootstrap (see Chihara and Hesterberg 2011; Lock…”
• RETENTION OF STATISTICAL CONCEPTS IN A PRELIMINARY RANDOMIZATION-BASED INTRODUCTORY STATISTICS CURRICULUM (2012, methodology): “In the Tintle et al. (2009) randomization-based curriculum, students are using simulation to conduct tests of significance on day one of the course, with the formal notion of p-value and null and alternative hypotheses occurring within the first week.”