CODE 
SOR1231 

TITLE 
Hypothesis Testing and Modelling using SPSS 

LEVEL 
01  Year 1 in Modular Undergraduate Course 

ECTS CREDITS 
2 

DEPARTMENT 
Statistics and Operations Research 

DESCRIPTION 
In this studyunit the following topics will be covered:
Parametric Tests:  One sample ttest  Independent sample ttest  Paired sample ttest  Oneway ANOVA test  Twoway ANOVA test
NonParametric Tests:  Kolmogorov Smirnov Test  Sign Test  Mann Whitney Test  Wilcoxon signed rank test  Kniskal Wallis test  Friedman test  Runs test Regression Models:  Simple Linear Regression Models  Multiple Linear Regression Models  NonLinear Regression Models Generalized Linear Models:  Analysis of Variance Models  Analysis of Covariance Models Factor Analysis by Principal Components Log Linear Models:  Chi square test for independence  Two way log linear models  Three way log linear models StudyUnit Aims:
This studyunit has four aims:  The first aim is to review a number of statistical tests. Each test can be used to draw a specific conclusion when studying specific data sets. Hence, choosing the ideal statistical test is of paramount importance.  Once the correct statistical test has been identified, then the next step is to implement this test using software, mainly SPSS. Hence, inputing data into SPSS and using this software to run the statistical tests will play a key role in this studyunit.  The correct interpretation of the SPSS output is extremely important. As this will enable the student to draw a number of conclusions on the data being analysed.  Finally students will learn how to combine all the SPSS outputs and their interpretations to create a report which contains a thorough analysis of the data set being studied.
Learning Outcomes:
1. Knowledge & Understanding:
By the end of the studyunit the student will be able to:  Identify the correct statistical tests to analyse the data set,  Implement the statistical test or tests on SPSS,  Interpret correctly the SPSS output and draw the correct conclusion,  Provide a written report which contains a thorough analysis of the data set.
2. Skills:
By the end of the studyunit the student will be able to:  Use effectively SPSS,  Write a statistical report.
Main Text/s and any supplementary readings:
 Barrow M. Statistics for Economics, Accounting and Business Studies (5th Edition), 2009. Financial Times Prentice Hall Inc (ISBN 9780273717942).  Field A. Discovering Statistics using IBM SPSS Statistics (4th Edition), 2013. Sage Publications Ltd (ISBN 9781446249185).  Green SB. and Salkind NJ. Using SPSS for Windows and Macintosh: Analyzing and Understanding Data (6th Edition), 2012. Pearson/Prentice Hall. (ISBN 020567030X, 9780205670307).  Sander DH. Statistics: A First Course (2nd Edition), 2005. McGrawHill Ryerson LTD (ISBN 0070911770, 9780070911772).  Van Emden H. Statistics for Terrified Biologists (3rd Edition), 2012. John Wiley & Sons (ISBN 1118541677, 9781118541678).  Wardlaw, AC. Practical Statistics for experimental Biologists (2nd Edition), 2000. Wiley (ISBN 0471988227, 9780471988229).


RULES/CONDITIONS 
Before TAKING THIS STUDYUNIT YOU MUST TAKE SOR1221 

ADDITIONAL NOTES 
Statistics & O.R. studyunits for students with 'A' Level Mathematics.
This studyunit is not for students taking Statistics & O.R. as one of the principal subject area. 

STUDYUNIT TYPE 
Lecture 

METHOD OF ASSESSMENT 
Assessment Component/s 
Resit Availability 
Weighting 
Project 
Yes 
100% 


LECTURER/S 
Mark A. Caruana


The University makes every effort to ensure that the published Courses Plans, Programmes of Study and StudyUnit information are complete and uptodate at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints.
Units not attracting a sufficient number of registrations may be withdrawn without notice.
It should be noted that all the information in the studyunit description above applies to the academic year 2017/8, if studyunit is available during this academic year, and may be subject to change in subsequent years.

11 December 2017
https://www.um.edu.mt/science/studyunit