Attacking Stataphobia Curtis Tilves (US), Saeed Yekaninejad (Iran), Setareh Sarachi (Iran), Eman Eltahlawy (Egypt), Tetsuro Hayashi (Japan), Eugene Shubnikov (Russia), Ron LaPorte (US), Faina Linkov (US) Curtis Tilves, Epid MS Student Advisor: Dr. Iva Miljkovic Project Advisor: Dr. Ron LaPorte Problem: Low Scientific Productivity in Developing Countries Solution: Euclid Statistical Matrix and BA Network Example: Iranian Statistical Matrix Created networks of ~3000 Iranian faculty ~1000 Iranian American students Team Iran created Farsi Matrix poster Information distributed across networks Publishing of health research into international journals from developing countries is incredibly low Library of Alexandria, Egypt “The Research Methods Center of the World”   Khan Academy Brandon Foltz Statslectures Hyperlink Video Length The Average Central Tendency: Mean, Median, and Mode 3:47 How to Calculate Mean and Standard Deviation 2:12 Sample vs. Population Mean Population vs Sample Data 26:47 Arithmetic Mean for Samples and Populations 2:46 Variance Variance and its Sampling Distribution 27:20 Variance and Standard Deviation of a Population 5:01 Why are Degrees of Freedom (n-1) Used in Variance and Standard Deviation 7:05 Topic Future Directions More Languages Larger distribution networks Network within country: E-mail Network between countries: Student groups More Research Methods Topics ex. Epidemiology, Big Data Public Health Significance Reasons for Low Health Research Output Matrix can increase statistical knowledge and comfort on a global scale and overcome language barriers Increased statistical know-how can result in greater research being done and higher publication rates in developing countries Accurate statistics will help to improve global health and aid in policy-making decisions International collaboration promotes unity in a time of discord Stataphobia: An abnormal fear of research design and statistics Few well-trained statistics teachers in developing countries Students learn in different ways, but taught by one individual Hard to visualize math Statistics is scary Language barriers Little cross-cultural collaboration across adversarial borders Matrix Teams from: Iran Russia Egypt Japan U.S. Acknowledgments A special thank you to our International Matrix teams, the Library of Alexandria, and the Iranian Student Network