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7149 (v.7) Principles of Statistics 101



 

Area:

Department of Mathematics and Statistics

Contact Hours:

4.0

Credits:

25.0

Lecture:

1 x 2 Hours Weekly

Tutorial:

1 x 2 Hours Weekly

Anti Requisite(s):

10925 (v.3) Principles of Statistics 103 or any previous version
307590 (v.1) Data Evaluation and Experimental Design 101 or any previous version
307591 (v.1) Data Evaluation and Experimental Design 103 or any previous version
Designed for students with TEE Applicable Mathematics. Includes study of inference for means - One Mean - introduction to inference, central limit theorem, checking assumptions, confidence intervals and hypothesis tests using Z and T, SPSS. Two means - testing of variances, inference for dependent and independent cases, SPSS. More than two means, ANOVA, SPSS. Module 4, qualitative data. Binomial - recognising binomial situations, calculations. Proportions - Inference for one and two proportions. Chi-squared distribution - tests for independence, homogeneity, goodness of fit of binomial model. Logistic Regression - fitting and interpreting the model.


Availability

YearLocationPeriodInternalArea ExternalCentral External
2004Bentley CampusSemester 1Y  
2004Bentley CampusSemester 2Y  
2004Miri Sarawak CampusSemester 1Y  
2004Miri Sarawak 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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