# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2023/2024

### Timetable information in the Course Catalogue may be subject to change.

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# Postgraduate Course: Introduction to Statistics (PUHR11050)

 School Deanery of Molecular, Genetic and Population Health Sciences College College of Medicine and Veterinary Medicine Credit level (Normal year taken) SCQF Level 11 (Postgraduate) Availability Available to all students SCQF Credits 10 ECTS Credits 5 Summary The course provides an introduction to the key concepts of statistical methods typically used in public health research, and will introduce students to fundamental techniques used to describe, analyse and interpret quantitative parametric data for two groups. Course description Topics to be covered include: types of data the relationship between population and sample sampling methods hypothesis testing estimation - confidence intervals univariate methods of analysis power multiple testing
 Pre-requisites Co-requisites Prohibited Combinations Other requirements None
 Pre-requisites None High Demand Course? Yes
 Academic year 2023/24, Available to all students (SV1) Quota:  75 Course Start Block 1 (Sem 1) Course Start Date 18/09/2023 Timetable Timetable Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 96 ) Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 % Additional Information (Assessment) Students will be asked to complete a guided critical appraisal exercise, focused on a long extract from a paper. 100% coursework. The maximum word count for the exercise will be 2500 words. Feedback Not entered No Exam Information
 On completion of this course, the student will be able to: Show knowledge of the basic principles underlying statistical thinkingShow knowledge of best practice in describing data statistically, using graphs and using tablesShow knowledge of the commonly used two group statistical tests used in the literature.Demonstrate understanding by appraising taught statistical methods described and applied in the literatureDemonstrate an understanding of how these principles are applied to real life data and be able to describe data and carry out simple statistical analyses using SPSS statistical software, and interpret them correctly
 None
 Graduate Attributes and Skills Not entered Keywords Statistics statistical methods SPSS t-test chi-squared test confidence interval
 Course organiser Dr Niall Anderson Tel: (0131 6)50 3212 Email: Niall.Anderson@ed.ac.uk Course secretary Mr Sam Chase Tel: Email: schase@ed.ac.uk
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