307590 (v.1) Data Evaluation and Experimental Design 101



 

Area:Department of Mathematics and Statistics
Contact Hours:3.0
Credits:12.5
Lecture:1 x 2 Hours Weekly
Tutorial:1 x 1 Hours Weekly
Anti Requisite(s):7149 (v.7) Principles of Statistics 101 or any previous version
307591 (v.1) Data Evaluation and Experimental Design 103 or any previous version
Exploratory data analysis, numerical and graphical summaries of univariate data, and transformations. Graphical evaluation of bi-variate data, normal distribution, normal calculations, and checks for normality. Experiments, random sampling, design of experiments, and introduction to inference. Inference for means, one mean, introduction to inference, and central limit theorem. Checking assumptions, confidence intervals and hypothesis tests using Z and T, and SPSS. Two means, testing of variances, inference for dependent and independent cases, and SPSS. More than two means, ANOVA, and SPSS.

 

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