- Introduction
- → Outline of basic statistics
- Statistics in analytical chemistry
- → Why statistics is important in Analytical Chemistry
- Statistical Measures
- → Measures used in statistics, such as mean, variance and standard deviation, and the difference between sample and population
- Error and Residuals
- → Calculation of statistical errors in measurements, and the definition of the residual
- Probability Distributions
- → The normal distribution of a random set of data, and its implications on data analysis
- Confidence Levels
- → Definition of confidence levels, or "How sure you are that your conclusions are correct"
- Degrees of Freedom
- → The degrees of freedom is the number of independent observations for a dataset
This section outlines the aim of statitics encountered in Analytical Chemistry, and goes through the basic tools that you will use to approach statistical analysis throughout this course. It also outlines the how you can use these tools in Excel.
If you are already familiar with statistics and numerical analysis, you can skip this section and proceed to Linear Regression Analysis. However, you may find it helpful to briefly review this section to re-familiarize yourself with these concepts, beginning with an overview of statistical analysis.