Subject category:
Finance, Accounting and Control
Published in:
2013
Length: 5 pages
Data source: Field research
Abstract
The student is cast as doing an Internship in MJP LLP, one of the top accounting and professional services firms in the UK. The student has shown a report containing some statistics which the host organisation thinks is quite impressive. The teaching philosophy is based on recognising 'What does bad look like?' and designing and executing 'What does good look like?' The intention is to provide an interesting and realistic context to learn or exercise core statistical methodology and tools. Key messages include: the power of graphical presentation, the importance of examining substantive and statistical significance, tailoring presentation and interpretation to the intended audience, and that there aren’t always strong patterns waiting to be found! The depth of reanalysis can be tailored to the level of the class: from a basic exploration and multiple linear regression (MLR) (which can be produced with Excel) to a fuller examination of the robustness if the MLR modelling and more sophisticated presentation (aided by a specialist package such as SPSS). NOTE: This case has been used as an assessment several times, but has since been used as an in-class exercise under a variety of names with an example ‘solution’ (enclosed here) made available to students; if to be used as an ASSESSMENT then the data could be tweaked to alter the outcomes.
Industry:
Size:
Large
About
Abstract
The student is cast as doing an Internship in MJP LLP, one of the top accounting and professional services firms in the UK. The student has shown a report containing some statistics which the host organisation thinks is quite impressive. The teaching philosophy is based on recognising 'What does bad look like?' and designing and executing 'What does good look like?' The intention is to provide an interesting and realistic context to learn or exercise core statistical methodology and tools. Key messages include: the power of graphical presentation, the importance of examining substantive and statistical significance, tailoring presentation and interpretation to the intended audience, and that there aren’t always strong patterns waiting to be found! The depth of reanalysis can be tailored to the level of the class: from a basic exploration and multiple linear regression (MLR) (which can be produced with Excel) to a fuller examination of the robustness if the MLR modelling and more sophisticated presentation (aided by a specialist package such as SPSS). NOTE: This case has been used as an assessment several times, but has since been used as an in-class exercise under a variety of names with an example ‘solution’ (enclosed here) made available to students; if to be used as an ASSESSMENT then the data could be tweaked to alter the outcomes.
Settings
Industry:
Size:
Large