sta1stm statistical methods
Credit points: 15
In this subject you will be introduced to statistical methods which are frequently used in science, psychology, health science and the social sciences. Topics include descriptive treatment of sample data, elementary probability and distributions, estimation and hypothesis testing of means and proportions. Other topics may include sample survey techniques, introduction to regression and chi-squared distribution. The statistical package SPSS will also be introduced.
SchoolSchool Engineering&Mathematical Sciences
Subject Co-ordinatorChristopher Lenard
Available to Study Abroad StudentsYes
Subject year levelYear Level 1 - UG
Incompatible subjects STA1LS, STA2LS, STA1SS, STA2SS,STA1CTS, STA1PSY, ECO1ISB
|Resource Type||Title||Resource Requirement||Author and Year||Publisher|
|Readings||The basic practice of statistics & CDR||Prescribed||Moore, DS, Notz, WI and Fligner, MA 2013||6TH EDN, W.H. FREEMAN, NEW YORK.|
Graduate capabilities & intended learning outcomes
01. Summarise, numerically, graphically, and in words, the distribution of a data-set.
- In Test 1, students are required to summarise simple data sets.
02. Describe and justify appropriate and reliable methods for gathering data via surveys and experiments.
- In Test 1 and the Exam, students are required to describe how a survey or experiment should be designed so as to gather usable data.
03. Solve basic probability problems involving the normal distribution, and interpret the results within a specific context.
- In Test 1, students are required to solve a range of probability problems based on the normal distribution. Answers are required to be given in terms of the specific context of the problem. These skills are also implicitly assessed in Test 2 and the Exam since they are the basis of the particular hypothesis tests subsequently discussed.
04. Analyse data using appropriate methods, including confidence intervals, hypothesis tests based on one and two sample means and matched pairs, and chi-squared tests.
- In Test 2 and the Exam, students are required to choose and use appropriate statistical techniques to analyse and discuss given data sets or summary of data and to make decisions based on those analyses.
05. Use simple linear regression and correlation to describe data and make predictions based on that data.
- In Test 2 and the Exam, students are required to use linear regression and the ideas of correlation to explain trends and make predictions.
06. Perform basic statistical analyses using the software SPSS as a tool.
- Students are required to interpret the results of sample SPSS outputs in the tests and the exam, to carry out the statistical analyses of ILOs 1-5.
07. Communicate effectively in both technical and non-technical written language the results of statistical analyses.
- Approximately half of the total marks available in the tests and exam are for effective written communication. This is mostly made up of the interpretation of the results of statistical analyses in non-technical language relating to the specific context of a given problem. It also includes the correct use of symbols and technical terms and the clear setting out of statistical analyses.
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Bendigo, 2015, Semester 2, Day
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorChristopher Lenard
LectureWeek: 31 - 43
Three 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
WorkShopWeek: 31 - 43
One 1.0 hours workshop per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
|one 3-hour examination||In order to pass the subject, a mark of at least 40% must be obtained on the examination, as well as an overall mark of at least 50%.||60||01, 07, 06, 05, 04, 03, 02|
|one 45-minute computer lab test||10||07, 06|
|two 45-minute written tests (Test 1-10%, Test 2-20%)||30||07, 03, 02, 01, 05, 06, 04|