Reumen. Se describen las bases del muestreo conglomerado y muestreo sistemático. Se presentan lasecuaciones pertinentes y aquellas para la estimación del tamaño óptimo de muestreo para cada tipo demuestreo. Se demuestra la aplicación práctica de éstos clases de muestreo por medio de ejemplosreales.Palabras claves. Muestreo conglomerado, muestreo sistemático, tamaño óptimo de la muestra.. Cluster sampling and systematic sampling are described and their equations are provided.Real examples are given in order to show the applications of these types of samplings. Equations toestimate (...) optimal sample sizes are also noted.Keywords. Cluster sampling, optimal sample size, systematic sampling. (shrink)

Palabras claves. Métodos estadísticos, pruebas de hipótesisResumen. Se presentan de forma simple, breve y por medios de los ejemplos prácticos, los métodos estadísticos que sirven para demostrar la representatividad de una, dos o varias muestras basada en los parámetros poblacionales . Se indican la manera de reducir el tamaño del error experimental para aclarar el efecto significativo de los grupos o muestras bajo el interés . Además, se demuestran la forma de eliminar el efecto de las variables auxiliares o colaterales (...) causante del ruido o error en la estadística . También se nota el uso del modelo ANOVA Anidada para indicar la forma de segmentar la ANOVA en varias partes y de esta manera poder contestar preguntas más complejas. Finalmente, se describen e explican la forma de optimizar los recursos en la conducción de los experimentos y descubrir el efecto de la interacción entre las variables .Keywords. Hypothesis testing, statistical methods. Statistical methods that serve to represent, based upon population parameters of mean and variance, for one, tow or various samples taken from study populations are discussed. Ways to reduce the amount of experimental error in order to clarify the real effect of the treatments are demonstrated . The use of Covariance Analysis to show the pure effect of treatment free from the effect of collateral variables is also indicated. Nested ANOVA that allows division of ANOVA in several parts in order to answer complex questions is described and explained. Finally, the utility of Factorial Analysis for optimization of resource use as well as the illustration of interaction effects are noted and analyzed. (shrink)

A partir de una encuesta por correo electrónico a estudiantes de Ingeniería en el SAI de la UAMA en un contexto de enseñanza remota forzado por la pandemia, se caracteriza la gestión de la docencia, desde la visión de los estudiantes, se realiza un diagnóstico de los aspectos relacionados. Es un estudio transversal con un análisis cualitativo y descriptivo de las respuestas. La gestión docente se ve afectada por factores inherentes al proceso, así como también por factores externos. Los resultados (...) obtenidos muestran que fue impactada fuertemente al realizarse el proceso totalmente vía remota especialmente, la comunicación e interacción alumno-profesor. (shrink)

The first systematic collaboration between cognitive scientists and sports psychologists considers the mind–body relationship from the perspective of athletic skill and sports practice. This landmark work is the first systematic collaboration between cognitive scientists and sports psychologists that considers the mind–body relationship from the perspective of athletic skill and sports practice. With twenty-six chapters by leading researchers, the book connects and integrates findings from fields that range from philosophy of mind to sociology of sports. The chapters show not only that (...) sports can tell scientists how the human mind works but also that the scientific study of the human mind can help athletes succeed. Sports psychology research has always focused on the themes, notions, and models of embodied cognition; embodied cognition, in turn, has found striking confirmation of its theoretical claims in the psychological accounts of sports performance and athletic skill. Athletic skill is a legitimate form of intelligence, involving cognitive faculties no less sophisticated and complex than those required by mathematical problem solving. After presenting the key concepts necessary for applying embodied cognition to sports psychology, the book discusses skill disruption ; sensorimotor skill acquisition and how training correlates to the development of cognitive faculties; the intersubjective and social dimension of sports skills, seen in team sports; sports practice in cultural and societal contexts; the notion of “affordance” and its significance for ecological psychology and embodied cognition theory; and the mind's predictive capabilities, which enable anticipation, creativity, improvisation, and imagination in sports performance. Contributors Ana Maria Abreu, Kenneth Aggerholm, Salvatore Maria Aglioti, Jesús Ilundáin-Agurruza, Duarte Araújo, Jürgen Beckmann, Kath Bicknell, Geoffrey P. Bingham, Jens E. Birch, Gunnar Breivik, Noel E. Brick, Massimiliano L. Cappuccio, Thomas H. Carr, Alberto Cei, Anthony Chemero, Wayne Christensen, Lincoln J. Colling, Cassie Comley, Keith Davids, Matt Dicks, Caren Diehl, Karl Erickson, Anna Esposito, Pedro Tiago Esteves, Mirko Farina, Giolo Fele, Denis Francesconi, Shaun Gallagher, Gowrishankar Ganesh, Raúl Sánchez-García, Rob Gray, Denise M. Hill, Daniel D. Hutto, Tsuyoshi Ikegami, Geir Jordet, Adam Kiefer, Michael Kirchhoff, Kevin Krein, Kenneth Liberman, Tadhg E. MacIntyre, Nelson Mauro Maldonato, David L. Mann, Richard S. W. Masters, Patrick McGivern, Doris McIlwain, Michele Merritt, Christopher Mesagno, Vegard Fusche Moe, Barbara Gail Montero, Aidan P. Moran, David Moreau, Hiroki Nakamoto, Alberto Oliverio, David Papineau, Gert-Jan Pepping, Miriam Reiner, Ian Renshaw, Michael A. Riley, Zuzanna Rucinska, Lawrence Shapiro, Paula Silva, Shannon Spaulding, John Sutton, Phillip D. Tomporowski, John Toner, Andrew D. Wilson, Audrey Yap, Qin Zhu, Christopher Madan. (shrink)

ḥeleḳ rishon. Sheʼelot u-teshuvot be-ʻinyanim shonim mi-toratenu ha-ḳedoshah shebi-khetav ṿeshe-be-ʻal peh -- ḥeleḳ sheni. Leḳet mikhtavim u-maʼamarim le-ḥizuḳ ṿe-hitʻorerut ba-ʻavodat ha-Shem yitbarakh -- ḥeleḳ shelishi. Leḳet mikhtavim me-a.m. ṿe-r. ha-Rav Ḥayim Shaʼul z. l.l. h.h. Grainiman baʻal ha-ḥidushim u-veʼurim".