This refresher training aims to provide an appreciation of statistical hypothesis testing, a knowledge of which statistical test to apply and the confidence to apply and interpret results from a range of statistical tests. Instead of concentrating on 'how to input data and use statistical software', the focus is on understanding, applying statistical tests and interpreting results.

The range of statistical tests included is limited to those commonly applied in Engineering and Science research.

The main learning points are:

• Key terminology associated with statistical tests and ability to apply it.
• Know when it  is appropriate to apply a one sample Z-test, one sample t-test, a paired t-test, an F-test, a test for a normal distribution and transform data so that it approximates to a normal distribution.
• Know the differences between parametric and non-parametric statistical tests and which type to apply.
• Be able to interpret the output statistical tests.
• Know how to calculate the appropriate sample size.

The course is designed so that the only pre-requisite is a basic knowledge of statistics such as mean, median and standard deviation is needed.

Output from statistical software packages is used for discussion and in practical work. However, delegates will not be using software packages within this course.

Please contact CCSL to discuss your needs.