THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2018/2019

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DRPS : Course Catalogue : Deanery of Molecular, Genetic and Population Health Sciences : Public Health Research

Postgraduate Course: Introduction to Statistics (PUHR11050)

Course Outline
SchoolDeanery of Molecular, Genetic and Population Health Sciences CollegeCollege of Medicine and Veterinary Medicine
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThe 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
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
Course Delivery Information
Academic year 2018/19, Available to all students (SV1) Quota:  None
Course Start Semester 1
Course Start Date 17/09/2018
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 Statistics2:00
Learning Outcomes
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
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
KeywordsStatistics statistical methods SPSS t-test chi-squared test confidence interval
Contacts
Course organiserDr Niall Anderson
Tel: (0131 6)50 3212
Email: Niall.Anderson@ed.ac.uk
Course secretaryMr Stuart Mallen
Tel: (0131 6)50 3227
Email: Stuart.Mallen@ed.ac.uk
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