Module Details
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 ENVIRONMENTAL SCIENTISTS
Code ENVS222
Coordinator Dr M Spencer
Earth, Ocean and Ecological Sciences
M.Spencer@liverpool.ac.uk
Year CATS Level Semester CATS Value
Session 2020-21 Level 5 FHEQ First Semester 15

Aims

This module provides training in statistics for environmental scientists. We emphasize the use of software to analyze real environmental data. We do not assume extensive prior knowledge. We will teach the essential theory alongside the practical components.

Learning Outcomes

(LO1) Make sense of the statistical terms that appear in scientific papers and the media

(LO2) Summarize data using graphs, tables, and numerical summaries

(LO3) Choose appropriate statistical methods to answer research questions

(LO4) Use statistical software to apply these methods, and interpret the output

(S1) Problem solving skills

(S2) Numeracy

(S3) IT skills

Syllabus
 

The main topics to be covered are:
Graphical and numerical summaries of data
Probability and the normal distribution
Workshop 1 Descriptive statistics and probability distributions

Samples, populations and the Central Limit Theorem
Confidence intervals
Workshop 2 Calculating and interpreting confidence intervals

Hypothesis tests
Workshop 3 t-tests

One-way analysis of variance
Two-way analysis of variance
Workshop 4 Analysis of variance in practice

Correlation
Regression
Workshop 5 Correlation and regression in practice

General linear models
Workshop 6 General linear models in practice

Two-way tables
Goodness of fit
Workshop 7 Categorical data analysis in practice

Designing surveys and experiments
Choosing analyses
Workshop 8 Designing studies and choosing analyses

Nonparametric statistics
Workshop 9 Nonparametric statistics in practice

Teaching and Learning Strategies

Teaching Method 1 online lectures and activities

Teaching Schedule
  Lectures Seminars Tutorials Lab Practicals Fieldwork Placement Other TOTAL
Study Hours           24

 24
Timetable (if known)              
Private Study 126
TOTAL HOURS 150

Assessment
EXAM Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
             
CONTINUOUS Duration Timing
(Semester)		 % of
final
mark		 Resit/resubmission
opportunity		 Penalty for late
submission		 Notes
Assessment 2 There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When): Semester 1, week 12  Report of approx 2 p    50       
Assessment 1 There is a resit opportunity. Standard UoL penalty applies for late submission. This is an anonymous assessment. Assessment Schedule (When) :Semester 1, week 7  Report of approx 2 p    50       

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