Statistics Support Services
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| Statistical Consulting Services (SCS)
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| Properly designed and analyzed experiments are the cornerstone of good science. Researchers in all areas rely on statisticians to assist with the design and analysis of experiments. It is a part of the duties of the statisticians at the university to aid researchers with the proper implementation and use of statistics. Statistical consulting services available to the university community include assistance with the following:
* Design of the statistical and mathematical aspects of projects
* All aspects of data handling including coding, creation of data files, handling of missing data, verification, summarization, organization, and graphical display
* Planning sample surveys and analyses of the resultant data
* Statistical analyses of data including analysis of variance and covariance for designed experiments, multivariate analyses, regression analyses, non-parametric analyses, quality and stochastic process control, and other specialized statistical techniques as needed
* Interpretations and explanations of results, statistical methods, analyses, and conclusions
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| Statisticians at SDSU
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| Dwight Galster, Assistant Professor of Statistics, x6219
dwight.galster@sdstate.edu
Expertise in Regression, SAS programming, and Survey Sampling
Cuirong Ren, Assistant Professor, Plant Science, x4748
cuirong.ren@sdstate.edu
Expertise in Bayesian Analysis, Reliability, Survival Analysis, and Decision Theory
Din Chen, Associate Professor of Statistics, x6212
din.chen@sdstate.edu
Expertise in Biostatistics, Ecological Informatics, and Spatial Statistics/GIS
Weiming Ke, Assistant Professor of Statistics, x5528
weiming.ke@sdstate.edu
Expertise in Biostatistics
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| Experimental Design Planning
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| Careful planning and design of an experiment is key to successful research in many different areas, if establishment of causality is sought. Principles of the scientific method (deductive study of the past, formulation of hypotheses, inductive reasoning based on sampling) as well as those defining the theory of experimental design (randomization, replication, and local control) must be observed.
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Design Project Planner.doc
This planner will guide you through the important steps of designing a comparative study from initial objectives through the analysis. If you are planning to seek statistical consultation regarding the design of an experiment, you are expected to bring a hard-copy of this planner filled out as completely as possible.
doc (110k) |
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| Statistics Software Supported
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| The Statistics faculty currently support SAS, Minitab, S+, and R software.
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