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Curricular information is subject to change
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 Type||Hours|
|Specified Learning Activities||
|Autonomous Student Learning||
A basic knowledge of linear algebra and calculus
|Resit In||Terminal Exam|
|Spring||Yes - 2 Hour|
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Not yet recorded.
|Dr Aidan Boland||Lecturer / Co-Lecturer|
|Dr Rebecca Killick||Subject Extern Examiner|
|Mr John O'Sullivan||Tutor|