units

FIT1006

Faculty of Information Technology

18 September 2017 28 April 2024
Monash University

Undergraduate - Unit

This unit entry is for students who completed this unit in 2015 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.

print version

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.

LevelUndergraduate
FacultyFaculty of Information Technology
OfferedClayton First semester 2015 (Day)
Clayton First semester 2015 (Online)

Notes

The ONLINE offering of this unit is only available to BITS Gippsland DE students.

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

On successful completion of this unit students should be able to:

  • perform basic statistical analysis by hand, and by using spreadsheets and statistical software;
  • employ a range of numerical and graphical techniques for the analysis and display of data, including the calculation of summary statistics and the construction of stem-and-leaf plots, boxplots and histograms;
  • communicate results of descriptive statistical analysis in a written report;
  • analyse the relationship between variables in a linear model using correlation and regression;
  • calculate probabilities using calculators, tables, spreadsheets and statistical software;
  • critically analyse sampling techniques,
  • perform hypothesis tests for the mean and proportion;
  • recognise the importance of the central limit theorem to statistical sampling, estimation and hypothesis testing;
  • identify public sources of data such as that provided by the Australian Bureau of Statistics as well as private data sources, such as from market research.

Assessment

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

Workload requirements

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.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

See also Unit timetable information

Chief examiner(s)

Dr John Betts

This unit applies to the following area(s) of study

Business analytics
Business information systems
Business systems

Prohibitions

BUS1100, ETC1000, ETC1010, ETC2010, ETF2211, ETW1000, ETW1010, ETW1102, ETW2111, ETX1100, ETX2111, ETX2121, MAT1097, STA1010, SCI1020

Additional information on this unit is available from the faculty at:

http://www.infotech.monash.edu.au/units/fit1006