This course aims to give 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. The focus is on understanding, applying statistical tests and interpreting results. The range of statistical hypothesis tests included is limited to those commonly applied in Social 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 Binomial test, one sample t-test, one sample Wilcoxon-Mann-Whitney test, two sample t-test, paired t-test and a test for a normal distribution.
• Know the difference between parametric and non-parametric statistical tests and which type to apply.
• Be able to interpret the computer output from these 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 required.

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

Please contact CCSL for further information.