units

FIT1006

Faculty of Information Technology

This unit entry is for students who completed this unit in 2014 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

## 6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

 Level Undergraduate Faculty Faculty of Information Technology Offered Clayton First semester 2014 (Day)Gippsland First semester 2014 (Off-campus)

### Synopsis

This unit is designed to give students an introduction to statistical and quantitative methods within a business-related framework and to provide students with a sound foundation for more advanced statistical and quantitative studies. The unit will provide opportunities for the student to gain skills in the presentation of business and economic data, the use of frequency distributions, measures of central tendency and dispersion, principles of probability, use of probability distributions, sampling theory, estimation, hypothesis testing, regression analysis, the use of indices and forecasting methods.

### Outcomes

At the completion of this unit students will have -

A knowledge and understanding of:

• typical sources of data such as: market research surveys, mandatory reporting, census and Consumer Price Index, commercial sources;
• sampling techniques, sampling error;
• fundamental statistical concepts such as: probability, mathematical expectation, the Central Limit Theorem, hypothesis testing, correlation and regression.

At the completion of this unit, students will have skills in:

• techniques for basic statistical analysis including: the calculation of summary statistics, graphic display of data including stem-and-leaf plots, boxplots and histograms;
• calculations required for problems based on concepts given in point-3;
• calculation of probabilities by: direct calculation from probability distribution, use of tables and spreadsheets;
• the use of computer software (eg SYSTAT) to perform all statistical techniques covered;
• communicating the results of descriptive statistical analysis through a written report.

### Assessment

Examination (2 hours): 60%; In-semester assessment: 40%

### Chief examiner(s)

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

• Two hours lectures
• Two hours tutorials

(b.) Study schedule for off-campus students:

• Off-campus students generally do not attend lecture, tutorial and laboratory sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.