Understanding the power of statistics is essential for your decision making process as a teacher. You will learn the basics of statistics; not just how to calculate them, but also how to interpret them.
In the first workshop, we will explore methods of descriptive statistics and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance).
Further information
For further information, please email faculty.marketing@usq.edu.au.
Dr Sayan Chakrabarty is a Postdoctoral Research Fellow, School of Teacher Education and Early Childhood at USQ. Sayan has an extensive teaching and research experience on analysing and interpreting large sample data on child schooling and wellbeing for about more than 15 years in different countries of the world (Australia, Germany, Switzerland, India, Bangladesh, Nepal).
He worked on education and training in the Skills and Employability Department, International Labour Office in Geneva. He also worked for the Word Bank office as a consultant on child schooling and adult employability issues.
His research projects are funded by the Federal Ministry of Economic Cooperation and Development (BMZ),Germany; International Labour Office and the Food and Agriculture Organization of the United Nations (FAO). He published extensively in peer-reviewed journals with high impact factor (World Development, International Journal of Educational Development, The Australian Journal of Teacher Education, Economic Papers etc.).
The most noticeable awards, fellowship and scholarships he received are: USQ publication excellence award, Australia; University Grants Commission (UGC) award in Social Science, Bangladesh; State Department award, USA; Carlo-Schmid Fellowship (ILO, Geneva); DAAD (German Academic Exchange Service) Scholarship.
Sayan's doctoral thesis at the Center for Development Research (ZEF), University of Bonn Germany examines some specific International Labour Standards related to WTO (social standards) in the developing countries (Bangladesh, India and Nepal) which affects child schooling.