Are statisticians cold‐blooded bosses? a new perspective on the ‘old’ concept of statistical population

Lu, Yonggang; Henning, Kevin S. S.

doi:10.1111/j.1467-9639.2012.00524.x

Cited by 8 publications

(11 citation statements)

References 13 publications

(23 reference statements)

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“…We claim that teachers should take their time. 'Our goal is always to help our students develop patterns of thinking that will help them make well-reasoned decisions using information' (Lu and Henning, 2013). In our experience, students appreciate such an approach and can be, step by step, introduced into the mystery of statistics.…”

Section: Technical Aspects Of Teaching Statisticsmentioning

confidence: 99%

Are we able to pass the mission of statistics to students?

Hindls

Hronová

2015

Teaching Statistics

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Section: Technical Aspects Of Teaching Statisticsmentioning

confidence: 99%

Are we able to pass the mission of statistics to students?

Hindls

Hronová

2015

Teaching Statistics

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“…Crucially, we see GDS employing modern computational techniques while incorporating the spatial, ethical, 1 and conceptual training of the geographer as an integral element of their production and interpretation. The understandings at which we might arrive are ones at which neither group might arrive at on their own: a spatially-aware data science should be sensitive both to the substantive and insightful critiques of quantitative analyses mounted by critical and cultural geographers and to the ways in which "data-generating processes" (Lu & Henning, 2013) are spatially determined.…”

Section: The Third Wave: a Computer In Every Thingmentioning

confidence: 99%

Geography and computers: Past, present, and future

Arribas‐Bel

Reades

2018

Geography Compass

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The discipline of Geography has long been intertwined with the use of computers. This close interaction is likely to increase with the embeddedness of computers and concomitant growth of spatially referenced data. To better understand the current situation, and to be able to better speculate about the future, this article provides two parallel perspectives: first, we offer an historical perspective on the relationship between Geography and computers; second, we document developments—in particular the nascent field of data science—that are currently taking place outside of Geography and to which we argue the discipline should be paying close attention. Combining both perspectives, we identify the benefits of tighter integration between Geography and Data Science and argue for the establishment of a new space—that we term Geographic Data Science—in which cross‐pollination could occur to the benefit of both Geography and the larger data community.

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“…In this sense, a very interesting discussion about the traditional way of teaching the idea of population in introductory statistics classes is presented by Kass (). Based on this work, Lu and Henning () proposed a simple, practical approach to introducing students to a statistical thinking that models nature through the lens of data‐generating processes, not populations. Their approach could help students in their understanding as to what general situation they are actually inferring.…”

Section: Introductionmentioning

confidence: 99%