DIGI103-18S2 (C) Semester Two 2018

# Statistics 1

15 points

Details:
 Start Date: Monday, 16 July 2018 End Date: Sunday, 18 November 2018
Withdrawal Dates
Last Day to withdraw from this course:
• Without financial penalty (full fee refund): Sunday, 29 July 2018
• Without academic penalty (including no fee refund): Sunday, 14 October 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 34% 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), 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.

## Timetable Note

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

## Assessment

To obtain a clear pass (≥ C-), you must obtain at least 50% overall and at least  40% in the final examination.

Please see the STAT101 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; 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.

## Indicative Fees

Domestic fee \$749.00

International fee \$3,788.00

* 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 Humanities .

## All DIGI103 Occurrences

• DIGI103-18S1 (C) Semester One 2018
• DIGI103-18SU2 (C) Summer Nov 2018 start - Not Offered
• DIGI103-18S2 (C) Semester Two 2018