Unformatted text preview: l implications for business decisions. In addition to that they were also able to
clearly link the limitation of the theory to the possible impact for decisions often also offering additional
factors that might be useful. Common limitations were the fact that all stock is assumed sold, that the
revenue and cost lines might not be linear. Such answers often gave good explanations of why that might
not be the case.
An identified common weakness was the lack of accuracy in predictions with stronger candidates explaining
some of the circumstances that might cause predictions to be inaccurate and in some cases how that might
be avoided e.g. by undertaking some qualitative research.
(a) There was a great variety in the quality of responses to this question. Many weaker candidates
described the functions of the Human Resources department but did not make any reference to the
sort of information that might be collected and used by this department. Good answers referred to
such information as that contained on application forms, information collected in the appraisal
process and training information. Stronger candidates often explained how this could be used to
improve the quality of the workforce by analysing any evident weaknesses and perhaps offering
further training for example. A limited number of candidates misinterpreted the question and drifted
into a discussion of market research. (b) This part of this question seemed to present some difficulty for candidates with many answers
being very general in nature and not making any reference to any specific form of numerical data.
Many candidates concentrated on saying that the numerical data might contain errors but did not
attempt to say why that might occur and what could be done about it.
Stronger candidates explained some possible causes of weaknesses in the data such as flawed
sampling methods and offered some possible ways in which such difficulties might be overcome,
including the addition of a qualitative narrative. The best responses gave specific examples of
quantitative data which could lead to wrong decisions being made. There were missed
opportunities to use issues and ideas presented in part (a) of this question. For example sickness
level statistics collected by an HR department might be skewed in a particular month or situation
and require qualitative qualification before being used to determine policy decisions. 3 © UCLES 2008 9707 Business Studies November 2008 BUSINESS STUDIES
Data Response General comments
On balance candidates performed about the same as in previous sessions in the paper overall. However,
there was a clear distinction between the two questions in terms of candidates’ performance. Question 1
was done less well than Examiners expected. Examiners had expected candidates to relate well to this
question as the scenario was one that should be more familiar to candidates than most business situations.
The weakness in the answers to Question 1 was there was far less evidence that candidates could relate t...
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- Fall '13