MA22040: Statistical analysis and modelling for business
[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: |
|
Assessment Summary: | CWRI 50%, EXOB 50% |
Assessment Detail: |
|
Supplementary Assessment: |
|
Requisites: | Before taking this module you must take MA12009 |
Learning Outcomes: |
By the end of the course you will be able to:
|
Synopsis: | In this unit you will learn statistical methods and models commonly used in business applications, e.g. hypothesis testing, regression analysis and forecasting time-dependent data. You will develop skills in statistical judgement to assist you in choosing appropriate models for analysing data. You will also learn how to use statistical computing to perform analyses, validate models and report results. |
Content: | Sampling distributions and uncertainty
One- and two-sample hypothesis tests
Experimental design and ANOVA
Estimation of parameters of normal model
Simple and multiple linear regression models
Regression model selection techniques
Regression model validation and diagnostics
Time series modelling and forecasting methods |
Course availability: |
MA22040 is Optional on the following courses:School of Management
|
Notes:
|