Undergraduate Course: Statistical Communication Skills (MATH10070)
Course Outline
School  School of Mathematics 
College  College of Science and Engineering 
Credit level (Normal year taken)  SCQF Level 10 (Year 3 Undergraduate) 
Availability  Available to all students 
SCQF Credits  10 
ECTS Credits  5 
Summary  Compulsory course for the Honours Degrees in Mathematics & Statistics and Economics & Statistics. Students must have a strong background in statistics and have previously taken Linear Statistical Modelling (MATH10005) AND Statistics (Year 2) (MATH08051), and be taking Likelihood (MATH10004). The workshops will involve application of statistical methods covered in these statistics courses, as well as other models introduced in the course. 
Course description 
Use of the R language for statistical modelling and graphics, particularly for regression and oneway and twoway analysis of variance; writing and presenting statistics; project work.
Linear statistical models and residual analyses in the R language.
Oneway analysis of variance.
Twoway analysis of variance with replication.
Twoway analysis of variance without replication.

Information for Visiting Students
Prerequisites  None 
High Demand Course? 
Yes 
Course Delivery Information

Academic year 2015/16, Available to all students (SV1)

Quota: None 
Course Start 
Semester 2 
Timetable 
Timetable 
Learning and Teaching activities (Further Info) 
Total Hours:
100
(
Lecture Hours 4,
Seminar/Tutorial Hours 20,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
74 )

Assessment (Further Info) 
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %

Additional Information (Assessment) 
Coursework 100% 
Feedback 
Not entered 
No Exam Information 
Learning Outcomes
On completion of this course, the student will be able to:
 Ability to use the R language to fit regression and analysisofvariance models, to examine residuals from such models, and to investigate transformations of data.
 Be able to apply the theory in other statistics courses to challenging problems.
 Ability to analyse data and interpret results of statistical analyses.
 Ability to present a typeset report of an individual statistical project.
 Ability to deliver an oral presentation.

Reading List
Recommended, not essential:
(1) Montgomery, D.C., Design and Analysis of Experiments, Wiley, 2005.
Montgomery, D.C., Design and Analysis of Experiments, Wiley, 2005. ISBN: 9781118097939
http://bookshop.blackwell.co.uk/jsp/id/Design_and_Analysis_of_Experiments/9781118097939
(2) Cox, D.R., Planning of Experiments, Wiley, 1958. £92.95 ISBN: 9780471574293 New Edition in Print (1958 edition out of print)
http://bookshop.blackwell.co.uk/jsp/id/Planning_of_Experiments/9780471574293
(3)Krzanowski, W., An Introduction to Statistical Modelling, Arnold, 1998.
£31.50 ISBN: 9780470711019 New Edition
http://bookshop.blackwell.co.uk/jsp/display_product_info.jsp?isbn=9780470711019

Additional Information
Graduate Attributes and Skills 
Not entered 
Study Abroad 
Not Applicable. 
Keywords  SCS 
Contacts
Course organiser  Dr Bruce Worton
Tel: (0131 6)50 4884
Email: Bruce.Worton@ed.ac.uk 
Course secretary  Mr Thomas Robinson
Tel: (0131 6)50 4885
Email: Thomas.Robinson@ed.ac.uk 

