Rationales and tools for statistical analysis of data and evidence are presented and explored for the natural sciences. Parameter estimation, hypothesis testing, statistical distribution measures, exploratory data analysis, univariate and mutivariate statistical models, design of experiments, simulation modeling, basic geostatistics, applied spatial analysis, and critical thinking are presented and discussed with respect to case studies. Software includes SPSS, JMP, R, spreadsheets, and other standard tools.
Rationales and tools for statistical analysis of data and evidence are presented and explored for the natural sciences. Parameter estimation, hypothesis testing, statistical distribution measures, exploratory data analysis, univariate and mutivariate statistical models, design of experiments, simulation modeling, basic geostatistics, applied spatial analysis, and critical thinking are presented and discussed with respect to case studies. Software includes SPSS, JMP, R, spreadsheets, and other standard tools.
