MATH07028 2013 STATISTICS
Full Title
STATISTICS
Transcript Title
STATISTICS
Code
MATH07028
Attendance
N/A %
Subject Area
MATH - Mathematics
Department
ESCI - Environmental Science
Level
07 - NFQ Level 7
Credit
05 - 05 Credits
Duration
Semester
Fee
€
Start Term
2013 - Full Academic Year 2013-14
End Term
2019 - Full Academic Year 2019-20
Author(s)
Billy Fitzgerald, Cian Taylor
Programme Membership
SG_SENER_B07 201300 Bachelor of Science in Energy, Sustainability
SG_SENVI_J07 201300 Bachelor of Science in Science in Environmental Protection
SG_SSCIE_H08 201600 Bachelor of Science (Honours)
SG_SSCIE_H08 201700 Bachelor of Science (Honours)
Description
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;
1.
Demonstrate their knowledge of core statistics skills such as data presentation and use of summary statistics.
2.
Apply their knowledge of descriptive statistics to summarise a dataset in an appropriate and meaningful way.
3.
Use inferential statistics to make robust judgements about a population of interest by analysis of sample data from the population.
4.
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
Prerequisites
Mathematics, Information Technology
Co-requisites
None
Incompatibles
None
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 & Continuous Assessment
70 %
End of Semester / Year Formal Exam
30 %
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 |
Total Full Time Average Weekly Learner Contact Time 3.00 Hours
Module Resources
Non ISBN Literary 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.
Other Resources
SPSS
Additional Information
None