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Study-Unit Description
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TITLE Hypothesis Testing and Modelling using SPSS

LEVEL 01 - Year 1 in Modular Undergraduate Course


DEPARTMENT Statistics and Operations Research

DESCRIPTION In this study-unit the following topics will be covered:

Parametric Tests:
- One sample t-test
- Independent sample t-test
- Paired sample t-test
- One-way ANOVA test
- Two-way ANOVA test

Non-Parametric 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
- Non-Linear 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

Study-Unit Aims:

This study-unit 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 study-unit.
- 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 study-unit 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 study-unit 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. McGraw-Hill 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).


ADDITIONAL NOTES Statistics & O.R. study-units for students with 'A' Level Mathematics.

This study-unit is not for students taking Statistics & O.R. as one of the principal subject area.


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 Study-Unit information are complete and up-to-date 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 study-unit description above applies to the academic year 2017/8, if study-unit is available during this academic year, and may be subject to change in subsequent years.
MSc (Research) and PhD application deadlines
Application Deadlines for Academic Year 2017/18 
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