64626 STATISTICAL INFERENCE

Year	No.	Offer	Mode	Description			Cred. Pts
98	64626 	S2  	D 	STATISTICAL INFERENCE     	1.00

Contents


STAFFING:

Examiner: A. PLANK
Moderator: S. KHAN

PRE-REQUISITE(S)

64621/75621


RATIONALE:

Methods of Statistical Inference are the basis of much decision making. A basic understanding of the concepts and techniques of statistical inference is highly desirable for a practitioner of statistics.


SYNOPSIS:

This unit provides the students with a firm grounding in the theory and methods of statistical inference and builds on the material covered in the unit Distribution Theory. Multiple regression, parametric and non-parametric applications are covered.


OBJECTIVES:

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

  1. Determine point and interval estimators for distributional
    parameters and discuss the properties and distributions of
    those estimators;
  2. Understand the principles of hypothesis testing and power of a
    test;
  3. Apply the principles of hypothesis testing to a wide range of
    situations including parametric and non-parametric testing;
  4. Solve for and make inferences about the parameters of a linear
    model.

TOPICS:

 Description                                                    Weighting(%)
  1. Sampling Distributions 10.00 chi-squared, t- and F- distributions

  2. Estimation 20.00 properties of estimators, methods of maximum likelihood and moments, interval estimation, sample size determination

  3. Hypothesis Testing 20.00 concepts, Type I and II errors, normal-based tests of proportions, means and variances, large and small samples, one and two samples, Neyman-Pearson Lemma, likelihood ratio tests

  4. Distribution-Free tests 20.00 concepts, Goodness-of-Fit Tests, contingency tables, one and two sample tests of location, the Kolmogorov and Lilliefors test for comparing distributions

  5. One-way analysis of variance 10.00 Concept, F-test, Kruskall-Wallis test

  6. Regression 20.00 the linear model, matrix approach to ordinary least squares, inference in the linear model.


TEXT and MATERIALS to be PURCHASED:

Wackerly, D.D., Mendenhall, W. & Schaeffer, R.L. 1996, Mathematical
Statistics with Applications
, 5th edn, Duxbury, Boston.


RECOMMENDED REFERENCE MATERIALS:

Berry, D.A. & Lindgren, B.W. 1990, Statistics: Theory and Methods,
Brooks/Cole.

Freund, J.E. & Walpole, R.E. 1987, Mathematical Statistics, 4th edn,
Prentice-Hall.

Larsen, R.J. & Marx, M.L. 1986, An Introduction to Mathematical
Statistics and Its Applications
, 2nd edn, Prentice Hall.


STUDENT WORKLOAD REQUIREMENTS:

	ACTIVITY				HOURS
Lectures                                      	42
Tutorials/Workshops                           	14
Private Study                                 	69
Examinations                                  	3
Assessments                                   	40

ASSESSMENT DETAILS:

No  *F/S Marks     Due        Description                              Wtg(%)    LBL WWW
1   S              14/08/98  ASSIGNMENT 1                              6.00      N   N
2   S              11/09/98  ASSIGNMENT 2                              6.00      N   N
3   S              09/10/98  ASSIGNMENT 3                              6.00      N   N
4   S              30/10/98  ASSIGNMENT 4                              6.00      N   N
5   S              END S2    3 HOUR RESTRICTED EXAMINATION             76.00     N   N

*F=Formative, S=Summative

OTHER REQUIREMENTS:

1    To   obtain   a   pass  in  the  unit,  students   must   perform
     satisfactorily in all aspects of assessment.
2    The  due date for assessments is the date by which a student must
     despatch an assignment to the USQ. The onus is on the student  to
     provide proof of the despatch date, if requested by the Examiner.
3    Students  MUST  retain a copy of all assignments  which  must  by
     produced if an when required by the Examiner.
4    Extensions   for  assignment  submission  may   be   granted   in
     extenuating  circumstances. The decision to grant  or  refuse  an
     extension is made by the Examiner. Students should be aware  that
     an  application  for  an  extension does not  guarantee  that  an
     extension will be granted.
5    Students  apply for extension by either applying at the  time  of
     submitting  an  assignment  or  applying  in  writing  prior   to
     submitting  an  assignment.  All  relevant  documentation  should
     accompany the application.
6    If  assignments are submitted after the due date and no extension
     is  granted,  then  a  penalty up to a  maximum  of  20%  of  the
     assignment mark for each working day late may apply.
7    No  further assignments will be accepted for assessment  purposes
     after  assignments or model solutions have been released,  except
     in extenuating circumstances.
8    In accordance with University policy and Guidelines,
8.1  an  Examiner  may  grant  an extension of  the  due  date  of  an
     assignment in extenuating circumstances;
8.2  no  assignments  will be accepted for assessment  purposes  after
     assignments  or  model  solutions have been  released  except  in
     extenuating circumstances;
8.3  assignments  submitted after the due date without any extenuating
     circumstances  will  attract a penalty of  at  most  20%  of  the
     assignment mark for each working day late;
8.4  students who submit an assignment after the due date and wish  to
     claim   extenuating   circumstances,  must  provide   documentary
     evidence with the assignment explaining the circumstances;
8.5  the   unit  examiner  shall  consider  a  claim  for  extenuating
     circumstances and decide on the outcome;
8.6  the  decision of the Dean shall be final in any dispute that  may
     arise in the implementation of these guidelines.
9    Restricted   Examination:   a  restricted   examination   is   an
     examination   where  only  those  materials  specified   in   the
     examination paper are permitted during the examination.

This information is accurate as at 04/11/98