Promoting Statistical Practice and Collaboration in Developing Countries

"Rarely, but just often enough to rebuild hope, something happens to confound my pessimism about the recent unprecedented happenings in the world. This book is the most recent instance, and I think that all its readers will join me in rejoicing at the good it seeks to do. It is an example of the kind of international comity and collaboration that we could and should undertake to solve various societal problems. This book is a beautiful example of the power of the possible. [It] provides a blueprint for how the LISA 2020 model can be replicated in other fields. Civil engineers, or accountants, or nurses, or any other profession could follow this outline to share expertise and build capacity and promote progress in other countries. It also contains some tutorials for statistical literacy across several fields. The details would change, of course, but ideas are durable, and the generalizations seem pretty straightforward. This book shows every other profession where and how to stand in order to move the world. I urge every researcher to get a copy!" —David Banks from the Foreword Promoting Statistical Practice and Collaboration in Developing Countries provides new insights into the current issues and opportunities in international statistics education, statistical consulting, and collaboration, particularly in developing countries around the world. The book addresses the topics discussed in individual chapters from the perspectives of the historical context, the present state, and future directions of statistical training and practice, so that readers may fully understand the challenges and opportunities in the field of statistics and data science, especially in developing countries. Features • Reference point on statistical practice in developing countries for researchers, scholars, students, and practitioners • Comprehensive source of state-of-the-art knowledge on creating statistical collaboration laboratories within the field of data science and statistics • Collection of innovative statistical teaching and learning techniques in developing countries Each chapter consists of independent case study contributions on a particular theme that are developed with a common structure and format. The common goal across the chapters is to enhance the exchange of diverse educational and action-oriented information among our intended audiences, which include practitioners, researchers, students, and statistics educators in developing countries.

Chapter 1 Statistics collaboration and practice in developing countries: experiences, challenges and opportunities   Chapter 1.1 Statistics collaboration and practice in developing countries: experiences, challenges, and opportunities   Eric A. Vance and Tonya R. Pruitt   Chapter 1.2 LISA 2020 Developing Statistical Practice and Collaboration in Developing Countries Eric A. Vance, Kim Love, O. Olawale Awe, and Tonya R. Pruitt   Chapter 1.3 LISA 2020 Network Survey on Challenges and Opportunities for Statistical Practice and Collaboration in Developing Countries           Kim Love, O. Olawale Awe, David J. Gunderman, Matthew Druckenmiller, Eric A. Vance   Chapter 1.4     Exploring the Need for a Statistical Collaboration Laboratory in a Kenyan University: Experiences, Challenges, and Opportunities Thomas Mawora, Joyce Otieno, and Eric A. Vance   Chapter 1.5     Barriers, Challenges and Opportunities to Statistical Collaboration  Demisew Gebru Degefu and James Rosenberger   Chapter 1.6     Challenges of Statistics Education that Leads to High Dropout Rate among Undergraduate Statistics Students in Developing Countries   Bayowa Teniola Babalola, Olushina Olawale Awe and Mumini Idowu Adarabioyo   Chapter 1.7     Statistics Education and Practice in Secondary Schools in Nigeria: Experiences, Challenges and Opportunities  Oluokun Kasali Agunloye, Deborah Olufunmilayo Makinde & Rafiat Taiwo Agunloye   Chapter 2 Building Capacity in Statistical Consulting and Collaboration Techniques Through The Creation of Stat Labs   Chapter 2.1     Promoting and Sustaining a Virile Statistical Laboratory in Nigeria’s Premier University: Lesson from UI-LISA Experience         Olusanya Elisa Olubusoye, Oluwayemisi Alaba, Eric Vance, Serifat Folorunso and Olalekan J. Akintande   Chapter 2.2     The Complementary role of UI-LISA in Statistical Training and Capacity Building at the University of Ibadan, Nigeria  Abosede A. Adepoju, Olusanya E. Olubusoye, Tayo Ogundunmade, Oyelakin T. Tomiwa & Bbosa Robert   Chapter 2.3     Statistical Consulting and Collaboration Techniques Hope Ifeyinwa Mbachu, Julius Nwanya, Kelechi Dozie and Mirian Raymond   Chapter 2.4     Statistical Consulting and Collaboration Practises: The Experience of NSUK-LISA Stat Lab  Monday Osagie Adenomon   Chapter 2.5     Statistics: The Practice of Data Surgeon         Olusanya E. Olubusoye & Olalekan J. Akintande   Chapter 2.6     The ABC of Successful Statistical Collaborations: Adapting the ASCCR Frame in Developing Countries         Olushina Olawale Awe and Eric A. Vance   Chapter 3 Statistics education and women empowerment   Chapter 3.1     Statistics and Women’s Empowerment: Challenges and Opportunities Pawan Kumar Sharam, Lubna Naz, Vishal Mahajan   Chapter 3.2     Women in STEM, progress and prospects: The case of a Ghanaian University Atinuke Adebanjia, Salami Suleiman   Chapter 3.3     Cross-Sectional Data Analysis of Female Labor Force Participation Using Factor Analysis: A Case Study of Bihar State, India Aviral Pandey   Chapter 3.4     Determining Variation in Women’s Labor Force Participation in a Fragile Region of Sub-Saharan Africa Using Cochran’s Q Statistic    Albert Ayorinde Abegunde, Adeyemi Adewale Alade, Ore Fika, Jacob Wale Mobolaji, Lasun Mykail Olayiwola, Akanni Akinyemi, Ifeoma Betty Ezike   Chapter 4 Statistical Literacy and Methods across Disciplines   Chapter 4.1     Understanding Uncertainty in Real-Life Scenarios through the Concepts of Probability and Bayesian Statistics       Richa Vatsa and Sandeep K. Maurya   Chapter 4.2     Generalized Dual to Exponential Ratio Type Estimator for the Finite Population Mean in the Presence of Non-Response     Sara Zahid, Asifa Kamal, Mahnaz Makhdum   Chapter 4.3     A Comprehensive Tutorial on Factor Analysis with R: Empirical Insights from an Educational Perspective     Olushina Olawale Awe, Philip Jegede, and James Cochran   Chapter 4.4     Retrieval of Unstructured Datasets and R Implementation of Text Analytics in the Climate Change Domain          Olusesan Michael Awoleye, Albert Ayorinde Abegunde, and Olushina Olawale Awe   Chapter 4.5     Control Charts and Capability Analysis for Statistical Process Control Arun Kumar Sinha and Richa Vatsa   Chapter 4.6     Determination of Sample Size and Errors      Haftom Temesgen Abebe   Chapter 5 New approaches to statistical learning in developing countries   Chapter 5.1     Active and agnostic: A multidisciplinary approach to statistical learning Leonardo César Teonácio Bezerra   Chapter 5.2     Modernizing the Curricula of Statistics Courses through Statistical Learning Marcus Alexandre Nunes   Chapter 5.3     The Ten Most Similar Players: How to use Statistics to Find the Best Soccer Players for Your Team   Thiago Valentin Marques   Chapter 5.4     Teaching and Learning Statistics in Nigeria with the Aid of Computing and Survey Datasets from International Organizations       Monday Osagie Adenomon   Chapter 6 Importance of Statistics in Urban Planning and Development   Chapter 6.1     Assessment of Indicators of Urban Housing Quality in Owerri Municipal, Nigeria: A Factor Analysis Approach       Ifeoma Evan Uzoma   Chapter 6.2     Role of Gender Disaggregate Statistics in Urban Planning and Development in Pakistan    Lubna Naz, Muhammad Umair   Chapter 6.3     Youth Empowerment and Sustainable Urban Development Arun Kumar Sinha and Markandey Rai   Chapter 6.4     A Statistical Approach to Urbanization: The Case of Turkey Yakup Ari   Chapter 7 Statistical literacy in the wider society   Chapter 7.1     Statistical Literacy and Domain Experts: Evidence from UI-LISA       Serifat. A. Folorunso, Tomiwa. T. Oyelakin, Oluwaseun. A. Otekunrin and Olawale. B. Akanbi   Chapter 7.2     Article 2: Media Presentation of Statistical Reports: How Adequate and Accurate?            Serifat A. Folorunso, Adewale P. Onatunji, Saheed A.Afolabiand, Morufu A. Folorunso   Chapter 7.3     The Challenges of Effective Planning in Developing Countries: Appraisal of Statistics Literacy Morufu A. Folorunso, Serifat A. Folorunso and Adedayo. A. Adepoju Chapter 7.4     Role of Statistics in Policy making for National Development           Oluwadare O. Ojo, Tolulope T. Osinubi and Serifat A. Folorunso   Chapter 8        Building Biostatistics Capacity in Developing Countries         Olushina Olawale Awe, Adeniyi Francis Fagbamigbe, Egwim Evans, Abdulhakeem Abayomi Olorukooba, Oluwafunmilola Deborah Awe, Mumini Idowu Adarabioyo, Olumide Charles Ayeni and Bayowa Teniola Babalola   Chapter 9        Technology and Multimedia in Statistical Education and Collaboration       Ezra Gayawan, Omodolapo Somo-Aina, Olabimpe B. Aladeniyi, Seyifunmi Michael Owoeye, Oluwatobi Michael Aduloju, Adetola Adedamola Adediran, and Olamide Seyi Orunmoluyi   Chapter 10      Statistical Approaches to Infectious Diseases Modelling in Developing Countries: A Case of COVID-19        Ezra Gayawan, Adeshina I. Adekunle, Anton Pak and Oyelola A. Adegboye   Bonus Chapter Systematically Improving Your Collaboration Practice in the 21st Century Doug Zahn

O. Olawale Awe, Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, Brazil Eric Vance, Laboratory for Interdisciplinary Statistical Analysis, University of Colorado Boulder, USA Kim Love, K. R. Love Quantitative Consulting and Collaboration