64626 STATISTICAL INFERENCE

Year	No.	Offer	Mode	Description			Cred. Pts
98	64626 	S2  	X 	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 64621 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- Lilliefors test for comparing distributions.

  5. One-way analysis of variance 10.00 Concept, F-test, Kruskali-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
Private Study                                 	125
Examinations                                  	3
Assessments                                   	40

ASSESSMENT DETAILS:

No  *F/S Marks     Due        Description                              Wtg(%)    LBL WWW
1   S              14/08/98  ASSIGNMENT 1                              6.00      Y   N
2   S              11/09/98  ASSIGNMENT 2                              6.00      Y   N
3   S              09/10/98  ASSIGNMENT 3                              6.00      Y   N
4   S              30/10/98  ASSIGNMENT 4                              6.00      Y   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    In accordance with University Policy and Guidelines,
4.1  an  Examiner  may  grant  an extension of  the  due  date  of  an
     assignment in extenuating circumstances;
4.2  no  assignments  will be accepted for assessment  purposes  after
     assignments  or  model  solutions have been  released  except  in
     extenuating circumstances;
4.3  assignments  submitted after the due date without any extenuating
     circumstances  will  attract a penalty of  at  most  20%  of  the
     assigned mark for each working day late;
4.4  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;
4.5  the   unit  examiner  shall  consider  a  claim  for  extenuating
     circumstances and decide on the outcome;
4.6  the  decision of the Dean shall be final in any dispute that  may
     arise in the implementation of these guidelines.
5    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