FS0302 - Statistics

Credit points:	03
Year:	2018
Student Contribution Band:	Band 3
Administered by:	Division of Tropical Environments & Societies

This subject is designed to help students acquire the skills needed to be able to use statistics and quantitative analysis proficiently at tertiary level. This foundation subject introduces students to basic concepts in statistics. In this IT age we live in, raw data is constantly being collected. The first broad area in this subject teaches students how data could be organised and summarised, so that they can begin to make sense and tell the realities behind the numbers. Analysis of the data is also covered in the lessons, as we explore real-world application of the techniques of descriptive statistics. With the introduction of probabilities, students are then introduced to inferential statistics, where the properties of various probability distributions are explored. Students may then find solutions to business applications of the concept of problems such as "how many months of warranty should a tyre manufacturer give to its customers, so that not more than 5% will return for warranty replacements?". Finally, students explore the ideas of correlation, to understand how two variables might have a mathematical relationship with one another, and how this idea is used in many research and business applications.

Learning Outcomes

• describe data using frequency tables, frequency distributions and graphical presentations;
• analyse given real-world scenarios and compute associated probabilities;
• analyse the correlation of variables from a given set of data by using simple linear regression;
• explain basic statistical terms and concepts, display and explore data;
• compute the mean and variance of a discrete probability distribution, compute the probabilities, mean and variance of a binomial probability distribution, compute required probabilities in a continuous probability distribution;
• apply the central limit theorem in various real-world scenarios, describe the various types of sampling methods to collect data in appropriate scenarios.

Assumed Knowledge:

Students will have basic knowledge in expressing their ideas in an academic setting.

Availabilities
Cairns, Internal, Study Period 1
Census Date 22-Mar-2018
Coordinator:	Ms Barbara Carter
Lecturer:	jc248054.
Contact hours:	65 hours lectures
Assessment:	end of semester exam (50%); quizzes or tests (50%).
Special Assessment Requirements:	Nil
Restrictions:	An enrolment quota applies to this offering.
Cairns, Internal, Study Period 2
Census Date 23-Aug-2018
Coordinator:	Ms Barbara Carter
Lecturer:	jc248054.
Contact hours:	65 hours lectures
Assessment:	end of semester exam (50%); quizzes or tests (50%).
Special Assessment Requirements:	Nil
Restrictions:	An enrolment quota applies to this offering.

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.