Basic Statistics

The training can be made up of any of the following topics, the number of topics included in the course will depend on the length of the training and level required. The training is suitable for complete beginners or as a refresher for those who have had some statistical training in the past.

Basic Essentials

• Data investigation and display
  
• Histograms and boxplots
  
• Means, Standard Deviation, Estimation, Standard Errors, Confidence Intervals
  
• Application to Process Capability Assessment
  

Comparison of Means

• t-tests, Significance tests
  

Simple ANOVA

• Analysis of variance for comparing means of more than two samples
  
• Least Significant Difference (LSD) and multiple comparison tests
  
• Assumptions - how important are they and how to check them
  

Linear Regression and Correlation

• Correlation, scatter plots
  
• Fitting simple linear prediction models
  
• Assessing goodness of fit
  
• Precision of prediction
  

Categorical Data

• Chi-squared Tests of association
  
• Binomial Data - confidence intervals and tests for differences in proportions
  

Sample Size

• How big a sample do I need?
  
• How do I assess the power of my test?