Ever wonder if tackling R is a good idea? In this webinar, you will see the good, the bad, and the useful resources of R.
Getting Started with R (and Why You Might Want to)
Poisson and Negative Binomial Regression for Count Data
Learn when you need to use Poisson or Negative Binomial Regression in your analysis, how to interpret the results, and how they differ from similar models.
This webinar will teach you how to achieve soundness in measurements that have potential for error. Not only will you learn about why reliability matters, but also the different types and how to apply them.
Ready to take your statistics proficiency to the next level? Learn all about Generalized Linear Mixed Models and when and how to apply it to your data analysis.
Learn exactly when you need to use Poisson or Negative Binomial Regression in your analysis, how to interpret the results, and how they differ from similar models.
Summarize common variation in many variables... into just a few! Learn the 5 steps to conduct a Principal Component Analysis and the ways it's different from Factor Analysis.
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