Registry
Module Specifications
Archived Version 2012 - 2013
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Description To give the student the necessary skills - to analyse efficiently a business dataset - to interpret the output of a statistical analysis. In addition the course aims to give the students an insight into the role of statistical techniques in a business environment. | |||||||||||||||||||||||||||||||||||||
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Learning Outcomes 1. 1. differentiate between different types of measurement 2. 2. use descriptive statistical techniques to summarise a business data set 3. 3. utilise statistical techniques to calculate probabilities 4. 4. explain the nature of sample error and calculate this error for a number of sample parameters 5. 5. choose the appropriate statistical techniques for testing market research hypotheses 6. 6. use SPSS and MS EXCEL for analysing data and generating statistical reports 7. 7. interpret statistical output and effectively present the results of this output | |||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and
Learning Activities None | |||||||||||||||||||||||||||||||||||||
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Indicative Reading List | |||||||||||||||||||||||||||||||||||||
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Other Resources None | |||||||||||||||||||||||||||||||||||||
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