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MN50640: Business statistics & forecasting

Follow this link for further information on academic years Academic Year: 2017/8
Further information on owning departmentsOwning Department/School: School of Management
Further information on credits Credits: 6      [equivalent to 12 CATS credits]
Further information on notional study hours Notional Study Hours: 120
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Semester 1
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Coursework 1 (CW 30%)
  • Coursework 2 (CW 70%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Further information on descriptions Description: Aims:
This unit introduces the intermediate and advanced concepts of data analysis using statistics and forecasting techniques such as ANOVA, ARIMA, and logistic regression with applications in business.

Learning Outcomes:
At the end of this unit, students will be able to:
* Make managerial conclusions about a set of given data using statistical methods
* Analyse and interpret the patterns in a set of given data
* Estimate the future observations of data using the trends identified.

Intellectual skills:
* Enhanced perspective of categorisation and classification (T, F)
Practical skills:
* Acquire, clean, present, and analyse data (T, F, A)
* Use software for statistical analysis and forecasting (F)
Transferable skills:
* Improved awareness of variability in data (T, F, A)
* Understand the uncertainties associated with forecasting (T, F, A)

Topics covered include probability distributions, confidence intervals, hypothesis testing, moving averages, exponential smoothing, linear regression, logistic regression, and effects of seasonality.
Further information on programme availabilityProgramme availability:

MN50640 is Compulsory on the following programmes:

School of Management