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Unformatted text preview: STAT 200: Course Aims and Objectives 1 Attitudinal aims In addition to specific learning outcomes, the course aims to shape the at- titudes of learners regarding the field of Statistics. Specifically, the course aims to 1. Motivate in students an intrinsic interest in statistical thinking. 2. Instill the belief that Statistics is important for scientific research. 3. Provide a foundation and motivation for exposure to statistical ideas subsequent to the course. 2 Learning outcomes Each numbered item states a learning aim for the course, and the items that follow indicate the learning outcomes (or objectives) through which that aim could be deemed to have been satisfied. 1. Demonstrate the ability to apply fundamental concepts in exploratory data analysis. (a) Distinguish between different types of data. (b) Interpret examples of methods for summarising data sets, includ- ing common graphical tools (such as boxplots, histograms and stemplots) and summary statistics (such as mean, median, mode, variance and IQR). (c) Assess which methods for summarising a data set are most appro- priate to highlight interesting features of the data. (d) Identify the features that describe a data distribution. (e) Use an appropriate software tool for data summary and exploratory data analysis. 2. Apply and interpret basic summary and modelling techniques for bi- variate data. 1 (a) Identify a possible relationship in bivariate data from a scatter- plot. (b) Recall the properties of a sample correlation. (c) Interpret a sample correlation. (d) Recognise the limitations of correlation as a summary of bivariate data. (e) Define the concept of least squares estimation in linear regression. (f) Fit a linear model to a bivariate data set via software. (g) Interpret the parameter estimates in a fitted linear model....
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This note was uploaded on 10/24/2011 for the course CHEMISTRY chem taught by Professor David during the Spring '11 term at The University of British Columbia.
- Spring '11