STAT101-17SU2 (C) Summer Nov 2017 start

Statistics 1

15 points

Details:
Start Date: Monday, 27 November 2017
End Date: Sunday, 11 February 2018
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Friday, 8 December 2017
  • Without academic penalty (including no fee refund): Friday, 12 January 2018

Description

An introduction to the ideas, techniques and applications of statistics and probability.

An introduction to the ideas, techniques and applications of statistics and probability. The emphasis is on applying statistics to problems, selecting sensible techniques, following the methodology and interpreting the results. Understanding the concepts and computer-based solutions are emphasised and applications to commerce, the social sciences, the humanities, science and engineering are considered. Particular topics include data analysis, summary statistics, probability, statistical distributions, estimation and inference (including confidence intervals, hypothesis tests and modelling).

All materials and organisational details will be available through Learn.

STAT101 has 33% of assessment allocated to supervised computer-based skills tests and on-line learning modules available in Learn. Weekly participation is monitored using Learn and the skills tests are based on the on-line tutorial questions.
As this is a 15 point course students should expect to spend about 150 hours on the course (NZQA guidelines).


This summer occurrence of STAT101 is intended for those students who have studied the course previously, or for graduate or mature students who are capable of a significant amount of independent learning using on-line materials.
It is a waitlisted course and potential students should contact the course coordinator in the first instance.

Learning Outcomes

  • Students will be able to:

  • understand a range of basic statistical concepts in
       - data analysis: uncertainty, variation, summary statistics;
       - probability: meaning of probability, sets, events and distributions;
       - estimation: samples, populations, parameters, estimates and uncertainty;
       - inference: hypotheses, tests, test statistics, test interpretations.

  • perform and interpret a range of basic statistical procedures in
       - data analysis: summary statistics and graphics;
       - probability: calculations and identification/application of distributions;
       - estimation: estimation of parameters and confidence intervals;
       - inference: hypothesis tests and model building.

  • use Excel in performing statistical calculations and producing diagrams;

  • identify applications of statistics in other university subjects.

Restrictions

STAT111, STAT112

Equivalent Courses

STAT111, STAT112

Timetable Note

The timetable runs November 2017 to February 2018.

Course Coordinator / Lecturer

Irene David

Lecturers

Hilary Seddon , David Rodda , Jenny Harlow and Cameron Bell

Textbooks / Resources

There is no set text for STAT101. However, we recommend Triola (2010), Elementary Statistics Using Excel, Pearson; and Mind on Statistics Australian & New Zealand by Macgillivray, Utts and Heckard second edition for general reading.
Black, Asafu-Adjaye, Khan, Perera, Edwards, Harris, (2007) Australasian Business Statistics, Wiley, (especially for business students) and Wild and Seber (2000) Chance Encounters, Wiley, (for general interest) are also useful and there are many other suitable texts.

Notes

This summer occurrence of STAT101 is intended for those students who have studied the course previously, or for graduate or mature students who are capable of a significant amount of independent learning using on-line materials.
It is a waitlisted course and potential students should contact the course coordinator in the first instance.

Indicative Fees

Domestic fee $735.00

International fee $3,525.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Mathematics and Statistics.

All STAT101 Occurrences