Statistical Hypothesis Testing
About this course
- Course code:
- Professional/Short Course
- Engineering Design and Mathematics
- Frenchay Campus
- One day
- Short course delivered through both taught and practical sessions.
- Programme leader:
- Deirdre Toher and Paul White
Page last updated 14 December 2018
We offer one-day short courses covering different aspects of applied statistics. Courses are non-credit bearing and are designed for quick learning of the material covered.
Fees include refreshments and lunch. Any course materials, including pre-reading, are included in the fee.
Overseas students need to have, in advance of application, either a valid student visa or evidence of residency status in the UK.
This course makes extensive use of SPSS and familiarity with descriptive statistics is assumed. We would expect attendees to have met statistical ideas at some point in their past and to have ideally completed the course 'Introduction to SPSS'.
This one-day course discusses the underpinning logical arguments for statistical inference and the terminology used. The logic is explained in the context of commonly used tests such as the chi-square test of association, McNemar's test (chi-square for related data), paired samples t-test, independent samples t-test, correlation, the one-way analysis of variance and post hoc tests. The course is (as far as possible) a hands-on course and SPSS is used throughout the day.
Statistical Hypothesis Testing is designed so that you can learn how to make logical and valid conclusions from your data. The focus is on the practical implementation of statistical techniques using SPSS, with further emphasis placed on incorporating good study design into your planning.
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 Discount|
|Payment Deadline||25 April 2019||23 May 2019||23 May 2019|
(Fees include car parking, lunch and refreshments)
Thursday 6 June 2019
10.00 - 16.00