This course aims to introduce the statistical software package R, focusing on providing the starting point needed to exploit R’s huge potential for statistical analysis. Please click on the sections ...

This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive statistics and visualizations, and inferential ...

For an introduction, we recommend: R Allenby Numbers and Proofs (Butterworth- Heinemann, 1997) P Eccles An Introduction to Mathematical Reasoning (Cambridge University Press, 1997) T Gowers ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

In terms of well-known statistical methods, this course covers t-tests, chi-square tests, correlation coefficients, and an introduction ... access to statistics software before the start of the course ...

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. This is an introductory course on statistics and how it can help ...

An introduction to descriptive statistics, graphing and data analysis, probability laws, discrete and continuous probability distributions, correlation and regression, inferential statistics. No ...

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The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

These demographic statistics provide researchers with standardized ... Oxford, UK: Oxford University Press, 2006. Benrey, B & Denno, R. F. The slow-growth-high-mortality hypothesis: A test using ...

If you are interested in a comprehensive introduction, we recommend ‘Statistics for Dummies’ by Deborah Rumsey. Please note that the definitions in our statistics encyclopedia are simplified ...