STA2301 Distribution Theory
Semester 1, 2019 Online  
Short Description:  Distribution Theory 
Units :  1 
Faculty or Section :  Faculty of Health, Engineering and Sciences 
School or Department :  School of Agric, Comp and Environ Sciences 
Student contribution band :  Band 2 
ASCED code :  010103  Statistics 
Grading basis :  Graded 
Staffing
Examiner: Taryn Axelsen
Requisites
Prerequisite: STA2300 and (MAT1102 or ENM1600)
Rationale
Statistics plays a vital role in social and scientific investigations. This course introduces students to the theory of probability and probability distributions, with clear indication of the relevance and importance of the theory in solving practical problems in the real world. The development of these concepts, and the understanding of the properties of commonly used distributions and underlying theory, form a solid foundation for the subsequent course on statistical inference.
Synopsis
This course introduces students to the concepts and elements of probability and distribution theory. The topics include probability, random variables and their distributions, expectation, moment generating functions, standard discrete and continuous distributions, bivariate distributions, transformation techniques and sampling distributions related to the normal distribution. This course also includes practical applications of these distributions and introduces statistical computations using R.
Objectives
On successful completion of this course students will be able to:
 Define probability concepts and identify properties of commonly used distributions.
 Derive probability distributions and functions of random variables.
 Evaluate the appropriateness of particular probability models to a variety of contexts.
 Apply a statistical package to evaluate the probability of suitably defined events and related applications.
 Communicate probability and probability distributional results using appropriate terminology for expert and nonexpert audiences.
Topics
Description  Weighting(%)  

1.  Probability  sample spaces and events, probability axioms, conditional probability, Bayes' Theorem, permutations and combinations.  15.00 
2.  Random Variables  discrete, continuous and mixed, mass functions, density functions, distribution functions, bivariate distributions, marginal and conditional mass and density functions  15.00 
3.  Expectation and Moments  mathematical expectation, algebra of expectations, covariance and correlation, conditional expectation, moments, moment generating functions  15.00 
4.  Standard Discrete Distributions  uniform, binomial, geometric, negative binomial, hypergeometric, Poisson  15.00 
5.  Standard Continuous Distributions  uniform, gamma, exponential, beta, normal, bivariate normal  15.00 
6.  Transformations  distribution function, moment generating function and change of variables methods applied to discrete and continuous random variables in one and two dimensions  15.00 
7.  Sampling Distributions (t, F and chisquared), Central Limit Theorem.  10.00 
Text and materials required to be purchased or accessed
ALL textbooks and materials available to be purchased can be sourced from USQ's Online Bookshop (unless otherwise stated). (https://omnia.usq.edu.au/textbooks/?year=2019&sem=01&subject1=STA2301)
Please contact us for alternative purchase options from USQ Bookshop. (https://omnia.usq.edu.au/info/contact/)
Reference materials
Student workload expectations
Activity  Hours 

Assessments  22.00 
Online Lectures  26.00 
Online Tutorials  26.00 
Private Study  98.00 
Assessment details
Description  Marks out of  Wtg (%)  Due Date  Notes 

ASSIGNMENT 1  100  15  26 Mar 2019  
ASSIGNMENT 2  100  15  30 Apr 2019  
ASSIGNMENT 3  100  15  28 May 2019  
2HR RESTRICTED EXAM  100  55  End S1  (see note 1) 
Notes
 Examination dates will be available during the Semester. Please refer to Examination timetable when published.
Important assessment information

Attendance requirements:
It is the students' responsibility to participate appropriately in all activities and to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of courserelated activities and administration.

Requirements for students to complete each assessment item satisfactorily:
To complete each of the assessment items satisfactorily, students must obtain at least 50% of the marks available for each assessment item.

Penalties for late submission of required work:
Students should refer to the Assessment Procedure http://policy.usq.edu.au/documents.php?id=14749PL (point 4.2.4)

Requirements for student to be awarded a passing grade in the course:
To be assured of receiving a passing grade a student must obtain at least 50% of the total weighted marks available for the course (i.e. the Primary Hurdle), and have satisfied the Secondary Hurdle (Supervised), i.e. the end of semester examination by achieving at least 40% of the weighted marks available for that assessment item.
Supplementary assessment may be offered where a student has undertaken all of the required summative assessment items and has passed the Primary Hurdle but failed to satisfy the Secondary Hurdle (Supervised), or has satisfied the Secondary Hurdle (Supervised) but failed to achieve a passing Final Grade by 5% or less of the total weighted Marks.
To be awarded a passing grade for a supplementary assessment item (if applicable), a student must achieve at least 50% of the available marks for the supplementary assessment item as per the Assessment Procedure http://policy.usq.edu.au/documents/14749PL (point 4.4.2).

Method used to combine assessment results to attain final grade:
The final grades for students will be assigned on the basis of the weighted aggregate of the marks obtained for each of the summative assessment items in the course.

Examination information:
In a Restricted Examination, candidates are allowed access to specific materials during the examination. The only materials that candidates may use in the restricted examination for this course are: writing materials (nonelectronic and free from material which could give the student an unfair advantage in the examination); calculators which cannot hold textual information (students must indicate on their examination paper the make and model of any calculator(s) they use during the examination) and Formula sheets as provided by the Examiner with the examination paper. Students whose first language is not English, may, take an appropriate unmarked nonelectronic translation dictionary (but not technical dictionary) into the examination. Dictionaries with any handwritten notes will not be permitted. Translation dictionaries will be subject to perusal and may be removed from the candidate's possession until appropriate disciplinary action is completed if found to contain material that could give the candidate an unfair advantage.

Examination period when Deferred/Supplementary examinations will be held:
Any Deferred or Supplementary examinations for this course will be held during the next examination period.

University Student Policies:
Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at http://policy.usq.edu.au.
Other requirements

Computer, email and Internet access:
Students are required to have access to a personal computer, email capabilities and Internet access to UConnect. Current details of computer requirements can be found at http://www.usq.edu.au/currentstudents/support/computing/hardware. 
Students can expect that questions in assessment items in this course may draw upon knowledge and skills that they can reasonably be expected to have acquired before enrolling in this course. This includes knowledge contained in prerequisite courses and appropriate communication, information literacy, analytical, critical thinking, problem solving or numeracy skills. Students who do not possess such knowledge and skills should not expect the same grades as those students who do possess them.