IGOR Pro 6.1.2 | Fitting Non-Linear Isotherm Models in IGOR | Chi-Square Test | Young Researchers
IGOR Pro 6.1.2 | Fitting Non-Linear Isotherm Models in IGOR | Chi-Square Test | Young Researchers
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This YouTube tutorial by Young Researchers demonstrates how to fit non-linear isotherm models in IGOR Pro 6.1.2 and perform a chi-square test to assess the goodness of fit.
The tutorial begins with a brief overview of the different types of isotherm models and their non-linear equations and parameters calculations. It then goes on to explain how to fit the Langmuir, Freundlich, and DR isotherm models to experimental data using IGOR Pro's built-in fitting functions.
The chi-square test is a statistical test that compares the observed data to the data predicted by the model.
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