Analysing Results

Analysing Results

Part 1: Understanding Calibration Curves:

  • Be capable of plotting and interpreting calibration curves.
  • Recognise that these curves establish the relationship between instrument response and analyte concentration.
  • Understand the usage of calibration curves to determine the concentration of analyte in unknown samples.

Part 2: Error Analysis:

  • Be able to identify and understand different types of errors such as random and systematic errors.
  • Be comfortable with calculating absolute and relative errors.
  • Learn to use standard deviation as a measure of spread of results around the mean.
  • Understand the meaning of confidence intervals and their interpretation.

Part 3: Spectral Data Analysis:

  • Be familiar with analysing and interpreting infrared (IR) and ultraviolet-visible (UV-Vis) spectra.
  • Understand the principles of nuclear magnetic resonance (NMR) spectroscopy and how to analyse NMR spectra.
  • Know how to apply these skills to identify unknown compounds.

Part 4: Chromatographic Data Analysis:

  • Understand the principle of retention time in chromatography and its use in identifying compounds.
  • Familiarise yourself with the construction and interpretation of chromatograms.
  • Know how to use peak area or peak height to determine concentrations.

Part 5: Stoichiometric Calculations:

  • Be capable of performing stoichiometric calculations based on balanced chemical equations.
  • Be comfortable with limiting reagent concepts and calculations.
  • Understand the meaning of theoretical yield, actual yield and percentage yield.
  • Recognise the importance of these parameters in evaluating the efficiency of chemical reactions.

Part 6: Evaluating Techniques and Methods:

  • Understand how to evaluate a technique or method based on accuracy, precision, reproducibility, and repeatability.
  • Know how to improve a method or technique by identifying potential sources of error or inaccuracy.
  • Understand the importance of critical thinking in experimental design and data analysis.