Griffith University

## Course Description

• ### Host University

Griffith University

• ### Location

Gold Coast, Australia

• ### Language Level

Taught In English

• ### Course Level Recommendations

Lower

ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

### Hours & Credits

• Credit Points

10
• Recommended U.S. Semester Credits
3 - 4
• Recommended U.S. Quarter Units
4 - 6
• ### Overview

Course Description
This course is designed as a first formal course in basic statistical methods. It aims to provide recognition of situations where statistical analysis may be of benefit and the range of methods that may apply to a given situation.
Course Introduction
To make good business decisions, the decision-maker must carefully analyse all alternatives in the light of all available information. The primary role of statistics is to provide decision-makers with principles and methods concerned with extracting useful information from a data set. This course is designed to provide students with the basic statistical techniques needed for the study of their discipline. It aims to provide recognition of situations where statistical analysis may be of benefit and introduce the range of methods that may apply to a given situation using real world examples. The course uses simple, real world-examples, and assumes that students have only basic algebra and number skills.
Course Aims
This course aims to provide recognition of situations where statistical analysis may be of benefit in extracting useful information from a data set. and introduces the range of methods that may apply to a given situation using real world examples. It aims to provide skills to,
recognise situations where statistical analysis would be of benefit;
organise, summarise and present data in relevant useful forms; and
apply a range of methods that are useful in solving statistical problems including the use of the spreadsheet package, Excel, for statistical data analysis.
Learning Outcomes
After successfully completing this course you should be able to:
1 recognise situations where statistical analysis would be of benefit;
2 organise, summarise and present data in relevant useful forms; and
3 make use of data and a range of methods that are useful in making inferences about business problems.
4 use the statistical tools in the Excel spreadsheet package to perform basic statistical data analysis.
 Assessment Task Weighting/Marked out of Test or quiz Workshop Quiz 10%/10 Exam - selected and constructed responses Mid-Semester Exam 25%/25 Test or quiz Computer Applications Exam 15%/15 Exam - constructed response Final Exam 50%/50

### Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.