MAS2403 : Statistical Methods for Marketing & Management
- Offered for Year: 2019/20
- Module Leader(s): Dr Daniel Henderson
- Lecturer: Dr David Walshaw
- Owning School: Mathematics, Statistics and Physics
- Teaching Location: Newcastle City Campus
|Semester 1 Credit Value:||10|
|Semester 2 Credit Value:||10|
To enable students to develop an understanding of the conceptual and practical issues in the
application of statistical techniques to marketing and business decision making. Emphasis is
placed on: identifying appropriate statistical techniques; using appropriate computer software
(e.g. SPSS) for statistical analysis; interpreting results in a business context, using real world
Outline Of Syllabus
Review of data types; graphical and numerical summaries; data collection and manipulation;
sampling; estimation; condence intervals; hypothesis testing. Analysis of Variance (ANOVA).
Nonparametric methods (e.g. Mann-Whitney, Kruskall-Wallis). Contingency tables. Multivari-
ate methods (e.g. cluster analysis).
Regression: review of correlation and simple linear regression; multiple regression; variable
selection (backward elimination); regression diagnostics; logistic regression (binary, ordinal).
General linear model. Time series: moving averages; seasonal effects; autoregressive models for
|Guided Independent Study||Assessment preparation and completion||2||11:00||22:00||Revision for unseen exams|
|Guided Independent Study||Assessment preparation and completion||4||5:00||20:00||Computer Based Assessments (practice and assessment)|
|Guided Independent Study||Assessment preparation and completion||2||15:00||30:00||Practical reports|
|Guided Independent Study||Assessment preparation and completion||2||1:30||3:00||Exams|
|Scheduled Learning And Teaching Activities||Lecture||2||2:00||4:00||Revision lectures|
|Scheduled Learning And Teaching Activities||Lecture||22||2:00||44:00||Formal lectures|
|Scheduled Learning And Teaching Activities||Practical||20||1:00||20:00||Computer practical sessions|
|Scheduled Learning And Teaching Activities||Drop-in/surgery||12||0:10||2:00||Office hours|
|Guided Independent Study||Independent study||1||55:00||55:00||N/A|
Teaching Rationale And Relationship
Lectures are used for the delivery of theory and explanation of methods, for allowing students
the opportunity to practise solving problems, to identify and resolve specific queries raised by
students and for giving general feedback on marked work. Computer practicals are used to
develop the students' computer literacy in the use of SPSS, to practise applying the theory
to solving practical problems and to identify and resolve specific queries raised by students.
Independent study provides students with the opportunity to consolidate their understanding
of material presented in lectures and practical sessions, as well as reviewing the feedback on
their marked work. In addition office hours (two per week) will provide an opportunity for more direct contact between individual students and the lecturer: a typical student might spend a total of one or two hours over the course of the module, either individually or as part of a group.
The format of resits will be determined by the Board of Examiners
|Computer assessment||1||M||2||Computer Based Assessments|
|Computer assessment||2||M||2||Computer Based Assessments|
Assessment Rationale And Relationship
The two formal unseen examinations assess a student's understanding of the material at the
end of each semester. In each semester the coursework consists of a practical report counting
for 3% and two Computer Based Assessments counting for 2% in total. The practical reports and CBAs are designed to ensure that the students are following the module and to give timely feedback on their progress.