Experimental design and data analysis unimelb

Does experimental research need data analysis?
Statistical analysis is an important tool in experimental research and is essential for the reliable interpretation of experimental results..
How do you analyze data in experimental research?
So what is the best approach to analysing your experiments?
1. Decide on the outcome of your experiment
2. Gather and compile all your data – both quantitative and qualitative
3. Deriving your “story”
4. Support your results with common experiment patterns
5. Challenge your interpretation
What is the concept of experimental design?
Experimental design is a concept used to organize, conduct, and interpret results of experiments in an efficient way, making sure that as much useful information as possible is obtained by performing a small number of trials..
Experimental Data Analysis (EDA) is a software program that helps professionals detect errors in experimental data, find relationships between variables and provides graphical representations of the statistics being analyzed.
Statistical analysis is an important tool in experimental research and is essential for the reliable interpretation of experimental results.

The presenter is Associate Professor Graham Hepworth

Does experimental research need data analysis?