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MA10214: Quantitative methods

Follow this link for further information on academic years Academic Year: 2019/0
Further information on owning departmentsOwning Department/School: Department of Mathematical Sciences
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: Certificate (FHEQ level 4)
Further information on teaching periods Period:
Semester 2
Further information on unit assessment Assessment Summary: EX-OB 100%*
Further information on unit assessment Assessment Detail:
  • Open book examination of 4 weeks* (EX-OB 100%)

*Assessment updated due to Covid-19 disruptions
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites: Before taking this module you must take MA10213 . This course is designed to follow on from MA10213, providing the statistical framework for a more formal analysis of common statistical problems in Business.
Further information on descriptions Description: Aims:
To teach the basic ideas of probability, data variability and hypothesis testing, and the application of these ideas in management.

Learning Outcomes:

Objectives: Students should be able to formulate and solve simple problems in probability including the use of Bayes' Theorem and Decision Trees. They should recognise real-life situations where variability is likely to follow a binomial, Poisson or Normal distribution and be able to carry out simple related calculations. They should be able to obtain interval estimates for population means, standard deviations and proportions, and to carry out a hypothesis test and understand the basic idea of statistical significance.

Statistical skills (taught and assessed).

The laws of Probability, Bayes' Theorem, Decision Trees. Binomial, Poisson and Normal distributions and their applications; the relationship between these distributions. Different types of sample; sampling distributions of means, standard deviations and proportions. Confidence intervals and hypothesis testing; types of error, significance levels and P values. Power. Quality control: Acceptance sampling and Shewhart charts.
Further information on programme availabilityProgramme availability:

MA10214 is Compulsory on the following programmes:

School of Management
  • UMMN-ANB01 : BSc(Hons) Business Administration with Thin sandwich placement(s) (Year 1)