Courses / Module

On successful completion of the module, students should be able to:

• Describe various types of data using numerical or graphical techniques.
• Calculate probabilities and conditional probabilities and for unions and intersections of events.
• Work with discrete random variables, including Binomial and Poisson.
• Calculate probabilities based on the Normal model.
• Test statistical hypotheses.
• Calculate and interpret confidence intervals.
• Calculate and explain correlation.
• Calculate, interpret and perform inference using the regression line.

• Tutorial & Labs/Practical hours are subject to review by the Head of Department.

Delivery methods	Hours
Lectures	24
Labs / Practicals	4
Tutorials	5
Planned learning activities	0
Independent student activities	92
Total	125

• Module Graded (numeric value) or Ungraded (Pass/Not Passed): Graded

Assessment type	Options	Weighting	Duration
Continuous Assessment		35%
University scheduled written examination	On-campus	65%	120 minutes
Other		0%
Total		100%	120 minutes

• Pass standard: 40%
• Could the result of this module be capped? No
• Penalties: Work submitted after the deadline will not be graded and will not count.

• Are supplemental/resit registrations permitted? Yes
• Continuous assessment mark is carried forward to the Autumn.
• University scheduled written examination (Autumn): 120 minutes, On-campus

• MT102SC or MT105A or equivalent.

For a full timetable search, go to NUIM Timetable. Venue locations can be found here.