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University of Wyoming


Analysis of Data: Exploratory Data Analysis

Simple graphs are a very good way to look for overall patterns in the data. They can help identify trends as well as deficiencies. Common graphing methods are:
    Time series
    Pie charts
Comparative Statistics:
Comparative statistics are used to assess the strengths of the relationships among different datasets (e.g., streamflow and sediment concentration, paired watersheds, BACI.)

Some common techniques are:
    Student t-tests
    Analysis of variance (ANOVA)
It is important to know the difference between a correlation and a regression relationship. Both describe the strength of relationship between two quantitative variables. Correlation (r) does not distinguish between explanatory and response variables. Regressions (r2) distinguish between dependent (response) and independent (explanatory) variables.