The history of statistics is filled with many controversies, in which the prime focus has been the difference in the “interpretation of probability” between Fre- quentist and Bayesian theories. Many philosophical arguments have been elabo- rated to examine the problems of both theories based on this dichotomized view of statistics, including the well-known stopping-rule problem and the catch-all hy- pothesis problem. However, there are also several “hybrid” approaches in theory, practice, and philosophical analysis. This poses many fundamental questions. This paper (...) reviews three cases and argues that the interpretation problem of probabil- ity is insufficient to begin a philosophical analysis of the current issues in the field of statistics. A novel viewpoint is proposed to examine the relationship between the stopping-rule problem and the catch-all hypothesis problem. (shrink)

We propose an efficient algorithm for deciding the reachability between any nodes on XML data represented by connected directed graphs. We develop a technique to reduce the size of the reference table for the reachability test. Using the small table and the standard range labeling method for rooted ordered trees, we show that our algorithm answers almost queries in a constant time preserving the space efficiency and a reasonable preprocessing time.

Media, politicians, and the courts portray college campuses as divided over diversity and affirmative action. But what do students and faculty really think? This book uses a novel technique to elicit honest opinions from students and faculty and measure preferences for diversity in undergraduate admissions and faculty recruitment at seven major universities, breaking out attitudes by participants' race, ethnicity, gender, socio-economic status, and political partisanship. Scholarly excellence is a top priority everywhere, but the authors show that when students consider individual (...) candidates, they favor members of all traditionally underrepresented groups - by race, ethnicity, gender, and socio-economic background. Moreover, there is little evidence of polarization in the attitudes of different student groups. The book reveals that campus communities are less deeply divided than they are often portrayed to be; although affirmative action remains controversial in the abstract, there is broad support for prioritizing diversity in practice. (shrink)

Technical reasoning refers to making inferences about how to use tools. The degree of technical reasoning is indicated by the bias of the gaze on the functional part of the tool when in use. Few studies have examined whether technical reasoning differs between familiar and unfamiliar novel tools. In addition, what effect the intention to use the tool has on technical reasoning has not been determined. This study examined gaze shifts in relation to familiar or unfamiliar tools, under three conditions, (...) among 14 healthy adults. The cumulative fixation time on the functional part of the tool served as a quantitative indicator of the degree of technical reasoning. The two-way analysis of variance for tools and conditions revealed that the cumulative fixation time significantly increased under free viewing and use conditions, compared to lift conditions. Relative to the free viewing condition, cumulative fixation time for unfamiliar tools significantly decreased in the lift condition and significantly increased in the use condition. Importantly, the results showed that technical reasoning was performed in both the use and the free viewing conditions. However, technical reasoning in the free viewing condition was not as strong as in the use condition. The difference between technical reasoning in free viewing and use conditions may indicate the difference between automatic and intentional technical reasoning. (shrink)