MATH07028 2013 STATISTICS
This module is designed to introduce the learner to the subject of statistics as applied to topics in environmental science. The module will cover basic descriptive statistics, and data presentation before moving on to cover inferential statistics and methods of statistical testing which have particular relevance to environmental science.
Learning Outcomes
On completion of this module the learner will/should be able to;
Demonstrate their knowledge of core statistics skills such as data presentation and use of summary statistics.
Apply their knowledge of descriptive statistics to summarise a dataset in an appropriate and meaningful way.
Use inferential statistics to make robust judgements about a population of interest by analysis of sample data from the population.
Select, apply, and analyse the results of a statistical test relevant to a particular dataset and bearing in mind the nature of the data and the strengths and weaknesses of different tests.
Module Dependencies
Indicative Syllabus
Data presentation: frequency charts, probability charts, histograms, box plots.
Summary Statistics: mean, median, mode, standard deviation and variance.
Statistical Distributions: normal, binomial, probability density function, statistical tables.
Statistical Testing: equality of means, variances, ANOVA, non-parametric testing.
Regression: linear regression.
Coursework & Assessment Breakdown
Coursework Assessment
Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
---|---|---|---|---|---|---|
1 | Short Answer Questions : worksheets, moodle quizzes. | Continuous Assessment | UNKNOWN | 30 % | OnGoing | 1,2,3 |
2 | Practical Evaluation : use of software to analyse statistical problems. | Continuous Assessment | UNKNOWN | 40 % | OnGoing | 1,2,3,4 |
End of Semester / Year Assessment
Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
---|---|---|---|---|---|---|
1 | Final Exam to test student's achievement of learning outcomes | Final Exam | UNKNOWN | 30 % | End of Term | 1,2,3 |
Full Time Mode Workload
Type | Location | Description | Hours | Frequency | Avg Workload |
---|---|---|---|---|---|
Lecture | Flat Classroom | Lecture | 1 | Weekly | 1.00 |
Practical | Computer Laboratory | Problem-based Learning | 2 | Weekly | 2.00 |
Independent Learning | UNKNOWN | Self Study | 4 | Weekly | 4.00 |
Module Resources
Reilly, J (2006). Using Statistics. Dublin: Gill & McMillan.
Townend, J (2008). Practical Statistics for Environmental and Biological Scientists. London: Wiley.
Pallant, J (2010). SPSS Survival Manual. New York: McGraw Hill.
SPSS
None