STAT101-12S1 (C) Semester One 2012

Statistics 1

15 points

Details:
Start Date: Monday, 20 February 2012
End Date: Sunday, 24 June 2012
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 4 March 2012
  • Without academic penalty (including no fee refund): Sunday, 20 May 2012

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 35% 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 120 hours on the course, which comes to 10 hours per week for a 12 week semester on average. If you do this, records show you are most likely to pass the course.

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

Contact hours
24 hours of lectures, 12 hours of examples classes, 12 hours of tutorials.

Course Coordinator / Lecturer

Irene David

Lecturers

Mike Steel and Hilary Seddon

Contact Person

Hilary Seddon

Assessment

Assessment Due Date Percentage 
Internal Assessment - TBA 55%
Final Examination 45%


Exam 45%
Skills tests 20%
Assignments 20%
On-line Tutorials and participation 15%

To obtain a clear pass you must obtain ≥ 40% in the final examination.

Please see the STAT 101 home page for the Course Outline to provide further details of the assessment.

Textbooks / Resources

There is no set text for STAT101. However, we recommend Triola (2010), Elementary Statistics Using Excel, Pearson, 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.

Course links

STAT101 homepage

Notes

Goal of the Course
The course aims to:
 • provide a good introduction to statistics;
 • give access to a range of statistical concepts and methods;
 • give the opportunity to become familiar with the use of Excel in performing statistical tests and calculations and producing diagrams;
 • provide a practical introduction to the use of statistics in other university subjects;
 • prepare students for further study in statistics.

Summary of the Course Content
The topics covered by this course are:
 • Understanding data, including the calculation and interpretation of summary statistics, time series and price indices
 • The use of Excel as a general purpose tool for statistical calculations and procedures
 • Probability, including sets, axioms, rules and calculations
 • Probability distributions, including counting rules, standard distributions, means and variances
 • Estimation, including sampling ideas, understanding uncertainty and the creation and interpretation of confidence intervals
 • Modelling, including hypothesis testing basics and linear regression model building

Indicative Fees

Domestic fee $622.00

International fee $3,200.00

* 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 .

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