Handbook 1996 : Faculty of Science (Volume 4 page 237)
Statistics subject : Next:619-202 | Prev:619-101 | Search | Help
619-201 "Statistical Methods" appears differently in several places - choose the one you want:
1. Statistics, Faculty of Science (v4, p237) : Next:619-202 | Prev:619-101
Note:
Credit points: 16.5
Coordinator: AssocProf R K Watson
Prerequisite: Mathematical Sciences 617-141 or 617-142 or Statistics 619-100 and Mathematics 618-121 or 618-141.
Contact: 39 lectures (three a week) and 39 tutorial/practice class hours
Timetable: First semester
Objectives:
Students completing this course shouldComprehend:
- the fundamental concepts of probability and statistical inference;
Have developed the skills:
- to use simple probability models in applications to standard situations;
- to carry out standard statistical analyses;
Appreciate:
- the breadth of application of statistics;
- the principles of estimation and hypothesis-testing and statistical techniques and their applications;
- the application of computer software in statistical analysis.
Content:
Simple probability models (Bernoulli trials, Poisson processes, sampling models); random variables and descriptions of their probability distributions; standard probability distributions including hypergeometric, binomial, negative binomial, Poisson, gamma and normal distributions and some of their applications; random sampling and properties of random samples; sample surveys. Introduction to parametric inference: estimation, confidence intervals and hypothesis testing; analysis of variance for one-way and two-way classification; linear regression; the general linear model and applications.
Assessment:
Up to 3 hours end-of semester written examination; up to 50 pages of assignments may be assessed.
1. Statistics, Faculty of Science (v4, p237) : Next:619-202 | Prev:619-101
2. Math. & Stats., Faculty of Educ(Parkville) (v5, p151) : Prev:619-100
Note: Special Requirement: An electronic calculator of an approved type (refer to Department of Statistics Office).
Credit points: 16.5
Coordinator: Assoc Prof R K Watson
Prerequisite: Mathematical Sciences 617-141 or 617-142 or Statistics 619-100 and Mathematics 618-121 or 618-141.
Contact: 39 lectures (three each week) and 39 tutorial/practice class hours
Timetable: First semester.
Objectives:
Students completing this course shouldComprehend:
- the fundamental concepts of probability and statistical inference;
Have developed the skills:
- to use simple probability models in applications to standard situations;
- to carry out standard statistical analyses;
Appreciate:
* the breadth of application of statistics;
- the principles of estimation and hypothesis-testing and statistical techniques and their applications;
- the application of computer software in statistical analysis.
Content:
Simple probability models (Bernoulli trials, Poisson processes, sampling models); random variables and descriptions of their probability distributions; standard probability distributions including hypergeometric, binomial, negative binomial, Poisson, gamma and normal distributions and some of their applications; random sampling and properties of random samples; sample surveys. Introduction to parametric inference: estimation, confidence intervals and hypothesis testing; analysis of variance for one-way and two-way classification; linear regression; the general linear model and applications.
Assessment:
Up to 3 hours end-of semester written examination; up to 50 pages of assignments may be assessed.
* Note that ASSESSMENT, CONTACT, COORDINATOR, NOTE, OBJECTIVES differs from the maintainer's version above. A log of variations is available.
2. Math. & Stats., Faculty of Educ(Parkville) (v5, p151) : Prev:619-100
3. Economics, Faculty of Eco & Comm (v3, p196) : Next:619-202 | Prev:316-206
Note:
Credit points: 16.5
Coordinator: Assoc Prof R K Watson
Prerequisite: Mathematical Sciences 617-141 or 617-142 or Statistics 619-100 and Mathematics 618-121 or 618-141.
Contact: 39 lectures (three a week) and 39 tutorial/practice class hours
Timetable: First semester
Objectives:
Students completing this course shouldComprehend:
- the fundamental concepts of probability and statistical inference;
- Have developed the skills:
- to use simple probability models in applications to standard situations;
- to carry out standard statistical analyses;
Appreciate:
- the breadth of application of statistics;
- the principles of estimation and hypothesis-testing and statistical techniques and their applications;
- the application of computer software in statistical analysis.
Content:
Simple probability models (Bernoulli trials, Poisson processes, sampling models); random variables and descriptions of their probability distributions; standard probability distributions including hypergeometric, binomial, negative binomial, Poisson, gamma and normal distributions and some of their applications; random sampling and properties of random samples; sample surveys. Introduction to parametric inference: estimation, confidence intervals and hypothesis testing; analysis of variance for one-way and two-way classification; linear regression; the general linear model and applications.
Assessment:
Up to 3 hours end-of semester written examination; up to 50 pages of assignments may be assessed.
* Note that ASSESSMENT, COORDINATOR, NOTE, OBJECTIVES differs from the maintainer's version above. A log of variations is available.
3. Economics, Faculty of Eco & Comm (v3, p196) : Next:619-202 | Prev:316-206
Status: Official 1996 Date created: Oct 9 1995 Last modified: Oct 9 1995 Authorised by: Academic Registrar Email enquiries: Course_Information@registrar.unimelb.edu.au
Maintained by: Dept. of Statistics, Faculty of Science.
Copyright © University of Melbourne 1995,1996.