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EESC 2600 Statistics and Data Analysis in Geosciences
2 hours lecture, 2 hours lab; 3 credits
Introduction to descriptive statistics in geological and geophysical contexts such as population and samples, random sampling, probability, normal distribution, types of errors; to the science of statistics description. Making inferences from numbers measured on samples, such as linear regression, analysis of variance, multiple regression, polynomial regression, cluster analysis. Data analysis in earth sciences presented on four different scales (nominal, ordinal, interval, and ratio). Graphical and numerical techniques for representation and analysis. Most examples will be worked using popular software, such as EXCEL and SPSS. STEM variant course - Satisfies Pathways Required Core Math and Quantitative Reasoning requirement.
Prerequisite: EESC 1101 or EESC 1201
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