# DEGREE REGULATIONS & PROGRAMMES OF STUDY 2016/2017

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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
 Academic year 2016/17, Available to all students (SV1) Quota:  None Course Start Semester 1 Course Start Date 19/09/2016 Timetable Timetable Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 16, Seminar/Tutorial Hours 5, Supervised Practical/Workshop/Studio Hours 10, Feedback/Feedforward Hours 1, Formative Assessment Hours 1, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 63 ) Assessment (Further Info) Written Exam 100 %, Coursework 0 %, Practical Exam 0 % Additional Information (Assessment) 100% Exam Feedback Not entered Exam Information Exam Diet Paper Name Hours & Minutes Main Exam Diet S1 (December) Introduction to Statistics 2:00
 Show knowledge of the basic principles underlying statistical thinking. Show knowledge of best practice in describing data statistically, using graphs and using tables. Show 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 literature. Demonstrate an understanding of how these principles are applied to real life data. Be able to describe data and carry out simple statistical analyses using SPSS statistical software, and interpret them correctly. 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
 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 Stuart Mallen Tel: (0131 6)50 3227 Email: Stuart.Mallen@ed.ac.uk
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