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This course is designed to familiarize participants with modern statistical methods for the analysis of environmental data. Applications to actual data are emphasized. The use of parametric and non-parametric methods is discussed.

Course Outline

Statistical analysis is being increasingly used in environmental assessment and monitoring projects.  Consequently, a growing number of professionals are involved with statistical studies, both as technical experts and as project managers coordinating the activities of technical experts. This course is designed to familiarize participants with modern statistical methods for the analysis of environmental data.  Applications to actual data are emphasized.  The use of parametric and non-parametric methods is discussed.  The course consists of lectures and use of MINITAB for data analysis.

Who Should Attend

Environmental consultants, federal, provincial an local government environmental personnel who are involved with sampling and statistical analysis, environmental managers in industries, environmental faculty who want to include the application of statistics in their courses. 

Program Outline Day I

• Describing Data: samples and populations
• Characteristics of environmental data
• Traditional and robust measures
• Data transformation
• Outlier detection

Exploratory/graphical data analysis
• Why use graphics
• Type of graphs: dotplots, histograms, stem and leaf plots, box
   plots, quantile, normal probability plots, other 2-D and 3-D
• Testing for normality
• Dealing with data below the detection limit 
• Advantages and disadvantages of each type of plot.


Introduction to MINITAB
• Basic commands
• Describing data
• Statistical graphics and probability plots
• Data transformation and testing for normality.

General hypothesis testing and p-values: One and two-sided tests
• Exact vs. large-sample approximations
• Measures of differences between populations, parametric vs.
  non-parametric tests 
• Comparing two groups of data: parametric and non-parametric
   tests for two independent and paired groups, estimation of 
• Comparing two groups of data using parametric and non-
   parametric methods: t-test, Mann-Whitney test, and Wilcoxon
   rank sum test.


Day II

Comparing several dependent and independent groups
One-factor ANOVA and Kruskal Wallis tests
Multiple comparison tests.

Parametric and non-parametric multi-factor tests
• Two-way ANOVA and BACI designs
• Friedman’s Test
• Use of box plots for display of two-way ANOVA
• Nested designs.
• One way ANOVA, Kruskal Wallis test, checking assumptions.
• 2-way ANOVA and Friedman test; Nested Design; Graphical
  display for ANOVA.


Regression Analysis
• Simple regression analysis
• Meaning, assumptions
• Transformations
• Regression diagnostics and bias correction due to
• Simple regression analysis and regression diagnostics.



Multiple regression model
• Hypothesis tests for MLR
• Confidence intervals
• Regression diagnostics and multi-co-linearity
• Choosing the best MLR model; ANCOVA

Trend Analysis
• Purpose and approaches to trend testing
• Trend tests with and without exogenous variables
• Dealing with seasonality
• Step vs. monotonic trends
• Comparison of approaches 
• Introduction to time series analysis
• Multiple regression and ANCOVA.
• Step and Monotonic Trend Analysis


Introduction to Environmental Sampling Design
• Simple random sampling
• Systematic sampling
• BACI, Nested, and gradient designs
• Criteria for choosing a sampling plan
• Sampling design questionnaire
• Statistical power analysis and resources
• Introduction to Power Analysis.
• Summary of course/questions and answers

Concluding Remarks and Final Adjournment

There will be a one-hour lunch break each day in addition to a refreshment and networking break during each morning and afternoon session.

After Participating In The Course, You Will Be Able To:

apply appropriate modern statistical methods in environmental field problems
plan statistical experiments
use MINITAB for statistical data analysis
make more cost-effective decisions regarding sampling and experimental designs of environmental assessment and monitoring programs.

Daily Schedule:
8:00    Registration and coffee (first day only)
8:30    Session begins
4:30    Adjournment

Prerequisites & Certificates

Exposure to environmental projects. First course in Probability and Statistics

Certificates offered

1.8 CEUs / 18 PDHs Special Feature To maximize your learning from the course, you work on examples in the course under instructor guidance. You Will Receive A binder chockfull of useful lecture notes as well as a copy of the Student Edition of Minitab Version 14 for Windows.

Cancellation Policy
To withdraw from a course, you must send a request, in writing, with the official receipt to our office. Fifteen or more business days in advance: full refund less $50.00 administration charge. Five to fifteen business days in advance: non-refundable credit of equal value for any future EPIC seminar within one year. Credits are transferable within your organization. In case of an unexpected event occurring after this time, you may send someone else to take your place without any additional cost.
Map & Reviews
EPIC Educational Program Innovations Center
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Here are some reviews of the training vendor.
The course was very well presented and the course instructor was absolutely amazing.
Reviewed by 2013
Our instructor, Stephen Lamming, was outstanding and a true expert in his field. He was able to complement the technical air monitoring information with practical real life examples which was highly beneficial. He is an excellent communicator and was highly interactive with the course attendees. This course was recommended to me because Stephen Lamming does an outstanding job. I was very impressed with this course and have subsequently recommended it to my colleagues.
Reviewed by 2012
Would have liked more interactive problem solving.
Reviewed by 2011

This course currently does not have any dates scheduled. Please call 1-877-313-8881 to enquire about future dates or scheduling a private, in house course for your team.

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