Postgraduate Course: Introduction to Statistics (PUHR11050)
Course Outline
| 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
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
|
| Academic year 2017/18, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 1 |
| Course Start Date |
18/09/2017 |
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 | |
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
|
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Statistics statistical methods SPSS t-test chi-squared test confidence interval |
Contacts
| Course organiser | Dr Niall Anderson
Tel: (0131 6)50 3212
Email: |
Course secretary | Mr Stuart Mallen
Tel: (0131 6)50 3227
Email: |
|
|
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