STATS121

Introduction to Statistical Methods

An introduction to statistical data collection and analysis. Topics include general principles for statistical problem solving; some practical examples of statistical inference; and the study of relationships between variables using regression analysis.

An introduction to statistical data collection and analysis. Topics include general principles for statistical problem solving; some practical examples of statistical inference; and the study of relationships between variables using regression analysis.

Paper Information

Points: 15.0
Prerequisite(s): MATHS168, MATH168; or 18 credits at Level 2 in NCEA Mathematics; or 14 credits at Level 3 in NCEA Statistics, Calculus or Mathematics.
Restriction(s): STAT121, STAT111, STAT160, STATS111
Internal assessment / examination: 1:1

Semesters and Locations

Occurrence Code When taught Where taught
18A (HAM)A Semester : Feb 26 - Jun 24, 2018 Hamilton

Timetabled Lectures for Introduction to Statistical Methods (STATS121)

DayStartEndRoomDates
Mon3:00 PM4:00 PML.G.05Feb 26 - Jun 3
Tue2:00 PM3:00 PML.G.03Feb 26 - Jun 3
Thu2:00 PM3:00 PML.G.04Feb 26 - Jun 3

NB:There may be other timetabled events for this paper such as tutorials or workshops.
Visit the online timetable for STATS121 for more details


Indicative Fees for Introduction to Statistical Methods (STATS121)

Occurrence Domestic International
 Tuition Resource 
18A (HAM) $750 $0 $2908
You will be sent an enrolment agreement which will confirm your fees.
Tuition fees shown below are indicative only and may change. There are additional fees and charges related to enrolment - please see the Table of Fees and Charges for more information.

Paper Outlines

Paper outlines are currently not available for this paper. Please contact the Faculty or School office for further details.

Additional Information

Available Subjects:  Data Analytics | Applied Computing | Mathematics

Paper details current as of : 13 December 2017 3:08pm
Indicative fees current as of : 14 December 2017 4:30am

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