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. |
Current as of: October 30, 2003 13:11:55
CRICOS provider code 00301J
