3.3.1 Experimental Data Analysis
Experimental data analysis makes use of statistical methods and tools
for data evaluation and useful to give overall report trend. It also
tells how well a range of data points fit a regression model. Several
tests and calculations were necessary to prove how adequate a model is
in describing the system.
Analysis of experimental data is appropriate when the fit summary, model
and analysis of variance (ANOVA) are statistically significant and
adequate in describing the extent to which the response depends on
factor variable. Optimization of process parameters was made viable from
the response surface plot gotten from analysis of data.
Table 3.4 Model Fit Summary