Online training in environmental statistics
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Permutation Tests and Bootstrapping
Learn how to compute bootstrap confidence intervals and permutation tests. This course introduces and explains how permutation methods resolve the problem of low power when applying t-tests and ANOVA to skewed data. Permutation alternatives to t-tests, ANOVA and regression allow inferences about the mean to be made without assuming normality, and without transforming variables. More power at no additional cost for testing the skewed data common to environmental studies. Bootstrapped intervals provide accurate endpoints without assuming a distribution for your data.

Applied Environmental Statistics
Statistics, down to Earth.page40_21A survey of environmental statistics, from confidence, prediction and tolerance intervals to regression models and trend tests in many varieties. Parametric, nonparametric and permutation tests.

Untangling Multivariate Relationships
Discern and describe patterns and trends in multiple chemical and biological measures. Does the pattern of 35 chemicals jointly change over time? Which chemicals are most correlated with the shift in species composition? Which sites cluster together due to similarity in their patterns of species occurrence? How can I plot data in 35 dimensions? How can I perform a trend analysis over time or location in the pattern of 100+ organisms?

Nondetects And Data Analysis
Statistical methods for data with nondetects.
How to compute means, UCL95s, hypothesis tests and regression and trend equations, all without substituting one-half the DL for nondetects.

Time Series Methods for Frequently-Collected Data
Methods for frequently collected ("real-time") data, such as data collected at 1, 5, 15 minute intervals. Without these methods, p-values for trend analysis, regression, and other hypothesis tests will be incorrect. Time series methods account for the 'replicate' nature of frequent data, providing reliable trend tests, regression equations, etc.

Statistical Methods for Contaminated Sites
Statistics for soils and groundwater. Meeting standards? Improving after remediation?
EPCs, UCLs, comparing to standards, and trend tests.

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