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Which of These Things is Not Like the Others? How Multiple Comparison Tests Work
July 16, 2019 10 am Pacific, 1 pm Eastern.
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"Which of these things is not like the others? One of these things just doesn't belong. Can you tell which thing is not like the others, By the time I finish my song?"
Multiple comparison tests determine which groups differ from others. Why are they needed following an ANOVA or Kruskal-Wallis test? How do they work? There are familiar types such as Tukey's test, and a newish version called the False Discovery Rate. In this webinar you'll get answers to the above questions, and learn why the False Discovery Rate is a method you should be using by the time I finish this webinar.
Much of the material is based on the book Statistical Methods in Water Resources, 2nd Edition by Helsel, Hirsch, Archfield, Ryberg and Gilroy. USGS Techniques and Methods 4-A3 (2019).


Free webinars for your viewing at our Online Training Center . Click the "View All Courses" button to see more than the top 3. The webinars will be listed as free courses.

1. Intro to Nondetects and Data Analysis
An introduction to data analysis for variables with nondetects.
Free. 50 mins.
Materials from the webinar (including slides and info) can also be downloaded as a zip file:
Download here

2. Fitting Distributions to Data with Nondetects
Making the most of small datasets with nondetects.
Free. 50 mins.
Recorded 2/19/2019. Q&A file and pdf of slides also available for download on our
Downloads page.

3. Testing Groups of Data With Multiple DLs
“ANOVA-type” tests and multiple comparison tests with nondetects.
Free. 55 mins.
Recorded 3/19/2019. Q&A file and pdf of slides also available for download on our
Downloads page.

4. The Mystery of Nondetects: How Censored Data Methods Work
Free. 60 mins.
Recorded 5/21/2019 Q&A file and pdf of slides also available for download on our Downloads page.

5. Seven Perilous Errors in Environmental Statistics
Seven common errors to avoid!
Free. About 1 hour.

Seven common errors in statistical analysis by environmental scientists all stem from an outdated understanding of statistics. I'll define the seven 'perilous errors' and how each can be avoided. They revolve around old ideas about hypothesis tests, p-values, using logarithms of data, evaluating what is a good regression equation, evaluating outliers and dealing with nondetects. Understanding why each error is perilous can save the scientist from publishing incorrect statements, using inefficient analysis methods, and wasting scarce financial resources. These errors have persisted through the years -- break the cycle and step into the 21st Century.

6. Intro to R
Break down the barrier of how to get started using R!
Free. About 1 hour.

R is one of the most widely used statistics software packages in the world. Its versatility as a programming language and its interconnectivity with email, web page generation and other computer processes make it a bit daunting for people just starting to use it for data analysis. It need not be that way. This webinar introduces you to R software and its use for data analysis. You'll learn how to type commands, install and load packages, and use the pull-down menus of R Commander (Rcmdr) to compute confidence intervals and a test for whether the mean exceeds a numerical standard.

7. Statistics For Managers
What your employees need to know to stay current with statistical methods today
Free. About 1 hour.

People requested this 2015 webinar be made available for listening. And here it is!
Topics:
1. Permutation Tests -- what they are and why they are important.
2. Free Software for Environmental Statistics
3. Better Methods for Handling Nondetects
4. Analysis of "real-time", frequently collected data

8. Forty Years of Water Quality Statistics: What's Changed, What Hasn't?
Free. 60 mins.
Some folks are still using methods from the era of black rotary-dial phones. You've upgraded your phone. How about updating your statistical methods?
Materials from the webinar (including slides and info) can be downloaded on the webinar site.


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