STAT101-10S2 (C) Semester Two 2010

Statistics 1

15 points

Details:
Start Date: Monday, 12 July 2010
End Date: Sunday, 14 November 2010
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 25 July 2010
  • Without academic penalty (including no fee refund): Sunday, 10 October 2010

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).

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.

Contact Person

Hilary Seddon

Assessment

Assessment Due Date Percentage 
Internal Assessment - TBA 46%
Final Examination 54%


50% Exam
18% Assignments
32% Skills tests

To obtain a clear pass (≥ C), you must obtain ≥ 40% in the final examination. If you obtain <40% in the final examination then your highest possible grade will be C-.

Textbooks / Resources

We recommend Triola (2010), Elementary Statistics Using Excel, Pearson.

Black, Asafu-Adjaye, Khan, Perera, Edwards, Harris, (2007) Australasian Business Statistics, Wiley is also useful.

However, there are many other suitable texts in the library.

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 $562.00

International fee $2,813.00

* 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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