1. Examples of Computing Uses for Statisticians Data management : data entry, data extraction, data cleaning, data storage, data manipulation, data distribution Mathematical symbolic processing : Algebraic manipulation, deriving analytic solutions to algebraic problems Simulation methods : Investigating performance of procedures under various distributional assumptions, resampling methods (e.g. bootstrap, jackknife), Markov Chain Monte Carlo, randomizations tests Data analysis : descriptive statistics and data visualization, statistical modelling including parameter estimation and hypothesis testing Information delivery : Report generation, data transfer, web deployment, etc

2. Types of Software Used by Statisticians Spreadsheets Databases Mathematical symbolic processing General stats packages: programmable General stats packages: interactive non- programmable Specialized software Custom software Other (word processing, document production, reference management, …) See: http://www.amstat.org/careers/statisticalsoftware.cfm http://www.amstat.org/careers/statisticalsoftware.cfm

3. Typical Data Flow 1. 1. Collect (enter, extract or generate) 2. 2. Store and manage 3. 3. Manipulate 4. 4. Analyze/Explore 5. 5. Report/Disseminate

4. SAS and R SAS and R