Stats Tutorial - Basic Statistics

Introduction

Basics of Excel™

Basic Statistics

Introduction

Stats in Anal Chem

Mean and Variance

Error and Residuals

Probability

Confidence Levels

Degrees of Freedom

Linear Regression

Data Evaluation & Comparison


PreviousSite MapNext
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.

© 2006 Dr. David C. Stone & Jon Ellis, Chemistry, University of Toronto
Last updated: August 23rd, 2006