- Academic Registry
Programme & Unit Catalogues

MA20228: Statistics for business I

[Page last updated: 03 August 2022]

Academic Year: 2022/23
Owning Department/School: Department of Mathematical Sciences
Credits: 6 [equivalent to 12 CATS credits]
Notional Study Hours: 120
Level: Intermediate (FHEQ level 5)
Semester 2
Assessment Summary: CW 30%, EX 70%
Assessment Detail:
  • Coursework (CW 30%)
  • Examination (EX 70%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: Before taking this module you must take MA10214
Learning Outcomes: Students should be able to select and perform appropriate hypothesis tests. They should understand the principles involved in experimental design and be able to apply the methods of analysis of variance. They should be able to use Excel to perform analyses.

Aims: To teach the methods of analysis appropriate to common types of data. To introduce the ideas of experimental design.

Skills: Statistical skills (taught and assessed).

Content: Sampling distributions. One and two sample tests for means and proportions including the use of Student's t. Simple non-parametric tests and chi-squared tests. Testing Binomial proportions. One-way analysis of variance (ANOVA): comparisons of group means. Two-way ANOVA: Two-way classification model, main effects and interactions. Experimental Design: Randomisation, blocking, factorial designs.

Programme availability:

MA20228 is Optional on the following programmes:

School of Management
  • UMMN-ANB07 : BSc(Hons) Business with Thin sandwich placement(s) (Year 2)


  • This unit catalogue is applicable for the 2022/23 academic year only. Students continuing their studies into 2023/24 and beyond should not assume that this unit will be available in future years in the format displayed here for 2022/23.
  • Programmes and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.