Courses / Module

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

• Calculate and interpret measures of location and variability using data sets.
• Use the laws of probability to compute the probabilities of events.
• Compute probability values for continuous and discrete probability distributions.
• Describe the characteristics of the sampling distribution of the sample mean and sample proportion.
• Construct confidence intervals for population means and population proportions.
• Formulate and test appropriate research hypotheses.

• Lectures, tutorials, computer labs, online quizzes, private study time.

Delivery methods	Hours
Lectures	24
Labs / Practicals	2
Tutorials	7
Planned learning activities	3
Independent student activities	89
Total	125

• Module Graded (numeric value) or Ungraded (Pass/Not Passed): Graded
• Continuous Assessment detail(s): Best two of three online quizzes; in-class mid-term test.

Assessment type	Options	Weighting	Duration
Continuous Assessment		20%
University scheduled written examination	On-campus	80%	120 minutes
Other		0%
Total		100%	120 minutes

• Pass standard: 40%
• Could the result of this module be capped? No
• Penalties: No late assignment will be graded.

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

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