| CODE | SOR0233 | ||||||||||||
| TITLE | Statistical Analysis in Practice | ||||||||||||
| UM LEVEL | 00 - Mod Pre-Tert, Foundation, Proficiency & DegreePlus | ||||||||||||
| MQF LEVEL | 4 | ||||||||||||
| ECTS CREDITS | 2 | ||||||||||||
| DEPARTMENT | Statistics and Operations Research | ||||||||||||
| DESCRIPTION | In this study-unit the following topics will be covered: 1. Introduction to the interface of the statistical software used. 2. Test for Normality: - Kolmogorov-Smirnov Test; - Shapiro Wilk Test. 3. Parametric Tests: - On Sample T-test; - Independent Samples T-test; - Paired Samples T-test; - Anova (one way and repeated measures). - Pearson Correlation Coefficient 4. Non-Parametric Tests: - Sign Test; - Mann Whitney Test; - Wilcoxon signed rank test; - Kruskal Wallis test; - Friedman test; - Spearman correlation coefficient. - Kendall correlation coefficient 5. Statistical Models: - Regression Models; - ANOVA and ANCOVA Models; - Logistic Regression Models. 6. Categorical Data Analysis: - Chi Squared Test for independence. 7. Students will learn how to conduct all the above tests using a number of statistical software packages. 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 statistical software packages. The correct interpretation of the software 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 software 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 in a statistics software package, - Interpret correctly the statistical software 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: - Identify the correct statistical tests to use on specific data sets, - Use with ease various statistical software packages, - Learn how to 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) - Field A. Miles J, and Field Z., Discovering Statistics using R, Sage Publications LTD, 2012. (ISBN 9781446200452) - Green SB. and Salkind NJ., Using SPSS for Windows and Macintosh: Analyzing and Understanding Data (6th Edition), 2012. Pearson/Prentice Hall. (ISBN 020567030X, 9780205670307) - Maindonald J. and Braun J., Data Analysis and Graphics Using R: An Example-based Approach, Cambridge University Press, 2012. (ISBN 0521813360) - 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 Information: - https://www.r-project.org/ - https://journal.r-project.org/archive/ - https://www.rstudio.com/ |
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| RULES/CONDITIONS | Before TAKING THIS UNIT YOU MUST TAKE SOR0210 AND TAKE SOR0220 | ||||||||||||
| STUDY-UNIT TYPE | Lecture | ||||||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Derya Karagoz |
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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 description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
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