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About 10,000 papers for “statistical thinking”

Statistical Thinking

Kristopher M. Goodrich, A.R. Trott, Elizabeth Daniels · 2023

This chapter addresses inferential statistics for counselors as researchers, including attention to reliability and validity, tests of significance, probability, forming hypotheses, standard scores, and the bell curve. Explanations are provided for specific parametric techniques, including t-tests, ANOVA, and correlation—as well as nonparametric alternatives. Throughout the chapter, a case study illustrates these concepts for the reader.

Cited by 0

Statistical Thinking

Wyngaard, Grace · JMU Scholoraly Commons (James Madison University) · 2007

Cited by 0

Probabilistic Thinking Versus Statistical Thinking

Daniela Díaz-Rojas, Jorge Soto‐Andrade, Amaranta Valdés-Zorrilla · Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. Proceedings of the Eleventh International Conference on Teaching Statistics · 2022

We discuss the similarities and differences between probabilistic and statistical thinking, arguing in favour of metaphorising them as arrows pointing in opposite directions. We base our argument and discussion on concrete examples, drawn from our teaching experience to a broad spectrum of learners at the University of Chile and inspired by Brousseau’s fundamental adidactic situation for inferential statistics in primary school, and our own fundamental adidactic situations for probability. Learners involved include first year humanistic university students, prospective math teachers, and in-service primary school teachers and their students.

Cited by 0Open access

HECO 521 Statistical Thinking

Curran, Jessica · Exhibit - A Showcase of Scholarship, Creativity and Preservation Provided by Xavier University Library (Xavier University) · 2017

Cited by 0Open access

Statistical Thinking in Business

J. A. John, Douglas Whitaker, Douglas Whitaker · 2005

Business students need the ability to think statistically about how to deal with uncertainty and its effect on decision-making in business and management. Traditional statistics courses and textbooks tend to focus on probability, mathematical detail, and heavy computation, and thus fail to meet the needs of future managers. Statistical Thinking in Business, Second Edition responds to the growing recognition that we must change the way business statistics is taught. It shows how statistics is important in all aspects of business and equips students with the skills they need to make sensible use of data and other information. The authors take an interactive, scenario-based approach and use almost no mathematical formulas, opting to use Excel for the technical work. This allows them to focus on using statistics to aid decision-making rather than how to perform routine calculations.New in the Second EditionA completely revised chapter on forecasting Re-arrangement of the material on data presentation with the inclusion of histograms and cumulative line plotsA more thorough discussion of the analysis of attribute dataCoverage of variable selection and model building in multiple regressionEnd-of-chapter summariesMore end-of-chapter problemsA variety of case studies throughout the bookThe second edition also comes with a wealth of ancillary materials provided on downloadable resources packaged with the book. These include automatically-marked multiple-choice questions, answers to questions in the text, data sets, Excel experiments and demonstrations, an introduction to Excel, and the StiBstat Add-In for stem and leaf plots, box plots, distribution plots, control charts and summary statistics.

Cited by 3

Stepping into Statistical Thinking

Mary Alice Carlson, Elizabeth G. Arnold, Barbara Bolte · Mathematics Teacher Learning and Teaching PK-12 · 2020

We used the Footprint problem to engage middle school students in statistical thinking.

Cited by 3

Statistical thinking in sports

Haan, M.A., Koning, Ruud H., Witteloostuijn, A. van et al. · Data Archiving and Networked Services (DANS) · 2007

According to popular belief, competitive balance in national soccer competitions in Europe has decreased due to the Bosman ruling and the introduction of the Champions League. We test this hypothesis using data from 7 national competitions, for a host of indicators. We find some evidence for competitive balance having decreased in England, and weak evidence for it having decreased in Netherlands and Belgium. For Germany, France, Italy, and Spain, we find no consistent change whatsoever. We use factor analysis to examine whether our measures of competitive balance can be condensed in a limited number of factors.

Cited by 0