| CODE | MGT3022 | ||||||||
| TITLE | Statistical Data Analysis for Business | ||||||||
| UM LEVEL | 03 - Years 2, 3, 4 in Modular Undergraduate Course | ||||||||
| MQF LEVEL | 6 | ||||||||
| ECTS CREDITS | 4 | ||||||||
| DEPARTMENT | Business and Enterprise Management | ||||||||
| DESCRIPTION | This study-unit focuses on how participants can use MS Excel and SPSS to conduct a statistical analysis of the data and to report/communicate the findings. More specifically, this unit will delve into data organisation and exploration procedures, summarising data, graphing data, describing relationships, and mainstream statistical inference techniques generally covered in undergraduate business and management courses. Study-Unit Aims: This study-unit aims to develop the students' capability to conduct a statistical analysis of data, to draw conclusions from the data analysis and to communicate these effectively verbally and in writing. Rather than focusing on laborious calculations (as in the case of the pre-requisite study units), MS Excel and SPSS will be used as tools for teaching statistical concepts. Learning Outcomes: 1. Knowledge & Understanding By the end of the study-unit the student will be able to: - Distinguish, choose and apply those statistical methods in common use in marketing, business and IT; - Assess the quality of data before proceeding with statistical analysis; - Distinguish and avoid potential mistakes arising from statistical misconceptions; - Operate the resources available for performing statistical analysis in MS Excel and SPSS; - Synthesize and communicate effectively the statistical findings (verbally and in writing). 2. Skills By the end of the study-unit the student will be able to: - Conduct statistical data analysis and write statistical reports independently; - Evaluate and synthesize statistical reports conducted by others. Main Text/s and any supplementary readings: Field, A. (2013) Discovering Statistics Using SPSS (4th Edition). London, UK: SAGE. Pallant, J. (2016) SPSS Survival Manual. A step by step guide to data analysis using IBM SPSS 6th Edn., Open University Press. Saunders, M., Lewis, P. & Thornhill, A. (2012) Research Methods for Business Students (6th edition). Harrow, UK: Pearson. |
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| ADDITIONAL NOTES | Pre-requisite Study-Units: EMA1100 & EMA1200 | ||||||||
| STUDY-UNIT TYPE | Lecture | ||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Jirka Konietzny Daniela Castillo Vincent Marmara |
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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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