1 resultado para HA Statistics
em CUNY Academic Works
Filtro por publicador
- JISC Information Environment Repository (2)
- Aberystwyth University Repository - Reino Unido (1)
- Andina Digital - Repositorio UASB-Digital - Universidade Andina Simón Bolívar (2)
- Applied Math and Science Education Repository - Washington - USA (2)
- Aquatic Commons (94)
- Archive of European Integration (1)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca Digital da Câmara dos Deputados (22)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (2)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Boston University Digital Common (2)
- Brock University, Canada (2)
- Cámara de Comercio de Bogotá, Colombia (1)
- Cambridge University Engineering Department Publications Database (62)
- CentAUR: Central Archive University of Reading - UK (44)
- Center for Jewish History Digital Collections (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (7)
- Cochin University of Science & Technology (CUSAT), India (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (151)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Cornell: DigitalCommons@ILR (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (10)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Diposit Digital de la UB - Universidade de Barcelona (5)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (3)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (4)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (3)
- Glasgow Theses Service (9)
- Greenwich Academic Literature Archive - UK (15)
- Helda - Digital Repository of University of Helsinki (6)
- Indian Institute of Science - Bangalore - Índia (32)
- Instituto Politécnico do Porto, Portugal (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Massachusetts Institute of Technology (2)
- Ministerio de Cultura, Spain (129)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Portal de Revistas Científicas Complutenses - Espanha (8)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (58)
- Queensland University of Technology - ePrints Archive (43)
- Repositório digital da Fundação Getúlio Vargas - FGV (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositorio Institucional de la Universidad Nacional Agraria (11)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (37)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (1)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- School of Medicine, Washington University, United States (2)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad Autónoma de Nuevo León, Mexico (62)
- Universidad del Rosario, Colombia (53)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (27)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (3)
- University of Southampton, United Kingdom (5)
- University of Washington (1)
- WestminsterResearch - UK (1)
- Worcester Research and Publications - Worcester Research and Publications - UK (2)
Relevância:
Resumo:
This presentation will outline an effective model for a Hybrid Statistics course. The course continues to be very successful, incorporating on-line instruction, testing, blogs, and above all, a data analysis project driven trajectory motivating students to engage more aggressively in the class and rise up to the challenge of writing an original research paper. Obstacles, benefits and successes of this endeavor will be addressed.