Nonparametric Statistical Tests
About this course
Page last updated 18 September 2018
We offer one-day professional courses covering different aspects of applied statistics. Courses are non-credit bearing and are designed for quick learning of the material covered.
Fees include lunch, refreshments and course materials, including any required pre-reading materials.
Overseas students need to have, in advance of application, either a valid student visa or evidence of residency status in the UK.
This course is a logical continuation of our Statistical Hypothesis Testing course. It continues to cover the commonly used statistical tests and covers confidence intervals, the nonparametric approach to inference (e.g. the Wilcoxon test, Mann Whitney test, Kruskal Wallis test, etc) as well as exploring relationships using linear regression and missing value analysis. An overview of selecting the most appropriate statistical test is given. We would expect attendees to have met statistical ideas at some point in their past, ideally to be familiar with the material covered in the pre-requisite course.
Our Statistical Hypothesis Testing and Nonparametric Statistical Tests courses are designed so that you can learn how to make logical and valid conclusions from your data. Both days will focus on practical implementation of statistical techniques using SPSS, with further emphasis placed on incorporating good study design into your planning.
This course will run from 10.00 - 16.00
This is a non-credit bearing course and no assessment will be undertaken. You will receive a certificate of attendance on completion of the course.
Supplementary fee information
Please see the table below for current fees and discounts available. All prices are VAT exempt.
Discounts can not be used in conjunction with each other. The greatest discount available will be applied at your booking confirmation.
|Cohort||Full Fee||Early Bird Discount||UWE Alumni/Student Discount||UWE Staff|
|Payment Deadline||12 April 2019||24 May 2019||24 May 2019|
(Fees include car parking, lunch and refreshments)
Friday 7 June 2019
10.00 - 16.00