Learn · Quantitative Methods in Chemistry
Lecture 17 of 53Week 4
Pooling of data
Prof. Aasheesh SrivastavaProf. Bharathwaj Sathyamoorthy · IISER Bhopal
Credits and licence
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- Quantitative Methods in Chemistry, IISER Bhopal (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Madras.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- A brief history of the beginnings of quantitation in Chemistry, defining chemical stoichiometry and molarity
- Defining Molality and Normality, relationship with Molarity
- Defining other parameters for concentration (%, ppm/ppb, p-value)
- Relationship between various concentration parameters
- Problems on acid-base equilibria, calculation of pH of strong and weak acids
- Brief introduction to normal distribution and statistical analysis
- Using a spreadsheet towards basic statistical analysis, exact equation of error propagation, accuracy and precision
- Error propagation and its application to a few examples, significant figures
- Introduction to use spreadsheets to analyze errors, reiteration of significant figures, repeats and reproducibility
- Classification of errors
- "A look at uncertainties in a measurement taking an example "
- A comprehensive and step-wise look at an experimental protocol towards understanding systematic errors in an experiment
- Introductory Statistics - Part 01
- Introductory Statistics - Part 02
- Hypothesis testing and Finding Outliers - Part 01
- Hypothesis testing and Finding Outliers - Part 02
- Pooling of data
- Introduction to Analysis of Variance (ANOVA) and comparing precisions
- Protocol for undertaking ANOVA - Part 01
- Protocol for undertaking ANOVA - Part 02
- ANOVA and Least Significant Difference (LSD)
- ANOVA and solved Least Significant Difference example
- Using spreadsheet software to perform data analysis towards calibrating a burette
- Using spreadsheet to analyze linear dependence between two variables
- Using spreadsheet and MATLAB towards data analysis with example of rate kinetics
- Simulating simple straight lines and kinetic curves using MATLAB
- Simulating the Michaelis Menten kinetics using MATLAB
- Curve fitting and simulating with variance for the Michaelis Menten kinetics using MATLAB
- Standards and Volumetric/Gravimetric titrations - Part 01
- Standards and Volumetric/Gravimetric titrations - Part 02
- Standards and Volumetric/Gravimetric titrations - Part 03
- Standards and Volumetric/Gravimetric titrations - Part 04
- Standards and Volumetric/Gravimetric titrations - Part 05
- Analytical Separations - Multistage extractions - Part 01
- Analytical Separations - Multistage extractions - Part 02
- Analytical Separations - Chromatography - Part 01
- Analytical Separations - Chromatography - Part 02
- Analytical Separations - Electrophoresis, Capillary electrophoresis, Isoelectric Focusing
- Basics of Chromatography - Part 01
- Basics of Chromatography - Part 02
- Chromatography - Concept of Theoretical plates
- Chromatography - Rate Theory
- Practice of Chromatography - HPLC
- Practice of Chromatography - Gas Chromatography
- Supercritical Fluid Chromatography
- Detectors employed during chromatographic separations
- Course Revision
- Course Revision - Week 01 to 03
- Course Revision - Week 04 & 05
- Course Revision - Week 06 & 07
- Course Revision - Week 08 to 11
- Live Session 20-03-2021
- Live Session 29-02-2020