Module Specification
The information contained in this module specification was correct at the time of publication but may be subject to change, either during the session because of unforeseen circumstances, or following review of the module at the end of the session. Queries about the module should be directed to the member of staff with responsibility for the module.
Title STATISTICS FOR BIOLOGICAL RESEARCH
Code LIFE763
Coordinator Mr KJ Hatton
School of Life Sciences
Kjhatton@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2016-17 Level 7 FHEQ First Semester 15

Pre-requisites before taking this module (other modules and/or general educational/academic requirements):
None 

Modules for which this module is a pre-requisite:
 

Co-requisite modules:
 

Linked Modules:
 

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours 10
A series of 10 lectures introducing key concepts
        40
Tutorial workshops to supplement learning.
50
Timetable (if known)              
Private Study 100
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Open Book Written Exam  120  Semester 1   35  Yes  Standard UoL penalty applies  Exam 
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Coursework  5 pieces of work eac  Semester 1  15  Yes  Standard UoL penalty applies  A series of summative assessments centred around lectures and tutorial workshops 
Coursework  Each of the two supp  Semester 1  50  Yes  Standard UoL penalty applies  Two equally weighted supplementary pieces of analysis and report writing. Notes (applying to all assessments) Workshop assessment is marked by postgraduate demonstrators who then are available to give feedback at the tutorial workshop sessions. Independent assignments are anonymously marked by teaching staff on the module. The exam is a computer marked MCQ assessment. 

Aims

The module aims to:

  • Introduce a range of statistical tests that are commonly used in the Biosciences.
  • Give experience in the implementation of these tests using statistical software.
  • Enable students to learn how to interpret and analyse the output of these tests

Learning Outcomes

To develop an understanding of  statistical hypothesis testing.

To apply a range of statistical tests

To critically assess the appropriateness of a statistical test

To intepret and report data collected in biological research.

Teaching and Learning Strategies

Lecture - A series of 10 lectures introducing key concepts

Practical - Tutorial workshops to supplement learning.

Syllabus
1 

Each component of the syllabus will comprise directed reading, followed by a lecture, plus a complementary workshop in which students complete a summative assessment. In addition to this, students will complete two further in-course assessments.

Course syllabus:

  • Introduction and descriptive statistics
  • t tests and hypothesis testing
  • ANOVA
  • Chi -Squared testing
  • Linear Regression
  • Non-Linear Regression

Recommended Texts
Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.
Explanation of Reading List: