MATH07028 2013 STATISTICS

General Details

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