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MN50640: Business statistics & forecasting

Follow this link for further information on academic years Academic Year: 2019/0
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.

Skills:
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)

Content:
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

Notes: