STAT40720

Learning Outcomes:

Having successfully completed this module, students will be able to:- Summarise a data set using appropriate graphical and numerical methods.- Understand the basic laws of probability and compute probabilities for several different distributions.- Understand the principle of inferential statistics, estimate population characteristics and provide confidence intervals for those estimates.- Understand the principles of hypothesis testing and for a specified investigation, given the background, identify an appropriate test and interpret the results.- Understand and compute the equation of the least squares line, compute confidence intervals and prediction intervals from the least square estimates and perform some basic diagnostic checks on the performance of regression models.

Student Effort Hours:

Approaches to Teaching and Learning:

Video lectures posted each week that walk though module content, blending theory with example exercises.
Practice problem sheets to enable self-assessment of learning outcomes. Sample solutions for these will be posted after each problem set. Coding based problem sets posted with solutions again following.
All content delivered using the VLE which includes a monitored discussion forum with topics created for each weeks lecture material and each problem set.

Requirements, Exclusions and Recommendations

Learning Requirements:

A basic knowledge of linear algebra and calculus

Module Requisites and Incompatibles

Not applicable to this module.
 

Assessment Strategy

 

Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.