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7150 (v.7) Statistical Methods 102


 

Area:

Department of Mathematics and Statistics

Credits:

25.0

Contact Hours:

4.0

Lecture:

1 x 2 Hours Weekly

Workshop:

1 x 2 Hours Weekly

Prerequisite(s):

7149 (v.7) Principles of Statistics 101 or any previous version

Syllabus:

Review of pdf, cdf distribution. Change of variable, simulation of random variables. Standard probability distributions and their applications. Modelling. Methods of parameter estimation. Checking distribution assumptions, contingency tables. Goodness of fit. Multiple linear regression. Non parametrics.
 

Unit Outcomes:

On successful completion of the unit the student will be able to perform modeling using various distributions & calculate related probabilities, expected values and simulate data; Explain and apply simple techniques dealing with moments and independent sums; Explain distribution function and calculate goodness-of- fit statistics; Use non-parametric tests and hypothesis testing; Analyze relationships between variables using linear regression, including transformations; Analyze multiple linear regression models using parameter estimation, ANOVA tables and hypothesis tests; Explain and apply regression diagnostics and variable selection methods.

Unit Texts:

Walpole R.E., Myers R.H. and Myers S.L. 2002 Probability and Statistics for Engineers and Scientists, 7th Edition Collier-MacMillan. Statistical Tables for Tertiary Students.
 

Unit Assessment Breakdown:

Quizzes 15%, Mid Semester Exam 10%, Project 15%, Final Exam 60%

Field of Education:

 10100 Mathematical Sciences (Narrow Grouping)

HECS Band (if applicable):

2  

Extent to which this unit or thesis utilises online information:

 Not Online  

Result Type:

 Grade/Mark


Availability

YearLocationPeriodInternalArea ExternalCentral External
2004Bentley CampusSemester 2Y  

Area
External
refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research.
Central
External
refers to external course/units run through the Curtin Bentley-based Distance Education Area

 
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