The Experimental Design in Statistics workshop is a comprehensive and interactive program designed to equip participants with essential knowledge and skills in designing and conducting effective experiments. Through a combination of theoretical discussions, practical exercises, and hands-on activities, this workshop will provide participants with a solid foundation in experimental design principles and techniques. Whether you are a researcher, data analyst, or professional seeking to enhance your statistical expertise, this workshop will empower you to make informed data-driven decisions and maximize the value of your experimental studies.
Target Audience:
Researchers and scientists in academia and industry
Data analysts and statisticians
Professionals involved in experimental studies and clinical trials
Graduate students and postdoctoral researchers
Workshop Objectives:
Understand the fundamentals of experimental design and its importance in statistical analysis.
Learn how to identify research questions, define objectives, and formulate hypotheses for experiments.
Gain knowledge of different types of experimental designs, including completely randomized designs, randomized block designs, factorial designs, and more.
Master the techniques for randomization, replication, and control in experimental design.
Acquire practical skills in conducting and analyzing experiments using statistical software.
Interpret and communicate experimental results effectively to diverse stakeholders.
Workshop Topics:
Introduction to Experimental Design
Types of experimental designs and their applications
Experimental design in different fields of research
Defining Research Questions and Formulating Hypotheses
Identifying research questions and objectives
Formulating testable hypotheses
Understanding the role of variables in experimental design
Completely Randomized Design (CRD), Randomized Block Design (RBD), Lattin Square Design (LSD), Factorial Designs
Principles and assumptions of randomization and replication
Analysis of all designs using statistical techniques
Sample Size Determination and Power Analysis
Methods for sample size calculation
Strategies for data collection in experiments
Hands-on Practical Sessions with software demonstrations
Account Details:
Course Fee: LKR.12,000.00
Name of the account holder: Institute of Applied Statistics Sri Lanka
Account No: 086100130008638
Bank: People’s Bank, Thimbirigasyaya
Payment Instructions: Please attach the payment slip in the application or email it to [email protected] on or before 15th July 2023.
LKR.12,000.00
Prof. (Mrs.) N. R. Abeynayake Senior Lecturer, Department of Computing & Mathematics, Faculty of Science & Engineering, Manchester Metropolitan University, UK.