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MA22014: Statistics 2A

[Page last updated: 03 June 2024]

Academic Year: 2024/25
Owning Department/School: Department of Mathematical Sciences
Credits: 10 [equivalent to 20 CATS credits]
Notional Study Hours: 200
Level: Intermediate (FHEQ level 5)
Period:
Semester 1
Assessment Summary: EXCB 100%
Assessment Detail:
  • Closed-book written examination (EXCB 100%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: Before taking this module you must ( take MA12003 AND take MA12004 ) OR ( take MA12011 AND take MA12008 ) OR take MA12013
Learning Outcomes: By the end of the course you will be able to:
  • Perform standard estimation procedures and hypothesis tests for parameters in a variety of statistical models
  • Analyse a variety of models for normally distributed data.
  • Carry out goodness-of-fit tests and analyse contingency tables.



Synopsis: This unit will develop your knowledge of statistical theory and your ability to apply statistical methods in analysing data. You will use the programming language R to fit models to data and you will develop the skills to interpret and use a fitted model.

Content: Maximum-likelihood estimation Properties of estimators, including mean square error, efficiency and consistency Confidence intervals. Hypothesis testing: Size and power of tests, Neyman-Pearson lemma, one-sided and two-sided tests. Distributions related to the normal: t, chi-square and F distributions. Inference for normally distributed data: Tests and confidence intervals for normal means and variances, one-sample problems, paired and unpaired two-sample problems, one-way analysis of variance, simple linear models. Model checking and robust methods Contingency tables and goodness-of-fit tests. Examples of all the above, including case studies analysed using R.

Course availability:

MA22014 is Compulsory on the following courses:

Department of Computer Science
  • USCM-AFB32 : BSc(Hons) Computer Science and Mathematics (Year 2)
  • USCM-AKB32 : BSc(Hons) Computer Science and Mathematics with professional placement (Year 2)
  • USCM-AKB32 : BSc(Hons) Computer Science and Mathematics with study abroad (Year 2)
  • USCM-AFM32 : MComp(Hons) Computer Science and Mathematics (Year 2)
  • USCM-AKM32 : MComp(Hons) Computer Science and Mathematics with professional placement (Year 2)
  • USCM-AKM32 : MComp(Hons) Computer Science and Mathematics with study abroad (Year 2)
Department of Economics
  • UHES-AFB12 : BSc(Hons) Economics and Mathematics (Year 2)
  • UHES-AKB12 : BSc(Hons) Economics and Mathematics with professional placement (Year 2)
  • UHES-AKB12 : BSc(Hons) Economics and Mathematics with professional placement and study abroad (Year 2)
  • UHES-AKB12 : BSc(Hons) Economics and Mathematics with study abroad (Year 2)
Department of Mathematical Sciences
  • USMA-AFB32 : BSc(Hons) Mathematics and Statistics (Year 2)
  • USMA-AKB32 : BSc(Hons) Mathematics and Statistics with professional placement (Year 2)
  • USMA-AKB32 : BSc(Hons) Mathematics and Statistics with study abroad (Year 2)
  • USMA-AFB33 : BSc(Hons) Mathematics, Statistics and Data Science (Year 2)
  • USMA-AKB33 : BSc(Hons) Mathematics, Statistics and Data Science with professional placement (Year 2)
  • USMA-AKB33 : BSc(Hons) Mathematics, Statistics and Data Science with study abroad (Year 2)

MA22014 is Optional on the following courses:

Department of Mathematical Sciences
  • USMA-AFB30 : BSc(Hons) Mathematics (Year 2)
  • USMA-AKB30 : BSc(Hons) Mathematics with professional placement (Year 2)
  • USMA-AKB30 : BSc(Hons) Mathematics with study abroad (Year 2)
  • USMA-AFM30 : MMath(Hons) Mathematics (Year 2)
  • USMA-AKM30 : MMath(Hons) Mathematics with professional placement (Year 2)
  • USMA-AKM31 : MMath(Hons) Mathematics with study abroad (Year 2)

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses 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.