LISA 2020 Edited Book

Promoting Statistical Practice and Collaboration in Developing Countries

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 of 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.

Key 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.

Available from Routledge

Table of Contents

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, Olushina 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, Olushina 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


Olushina Olawale Awe
Institute of Mathematics, Statistics and Scientific Computing, University of Campinas, Brazil

Eric A. Vance
Laboratory for Interdisciplinary Statistical Analysis, University of Colorado Boulder, USA

Kim Love
K. R. Love Quantitative Consulting and Collaboration