Understanding Comparing Groups On A Quantitative Response Variable Part 14
Let's dive into the details surrounding Comparing Groups On A Quantitative Response Variable Part 14. I discuss how to estimate a contrast and obtain the standard error of that estimate.
Key Takeaways about Comparing Groups On A Quantitative Response Variable Part 14
- I illustrate how to use R to obtain Bonferroni confidence intervals.
- I introduce the topic of multiple comparisons procedures (MCPs) and discuss the difference in planned and post hoc methods.
- In this video you will learn about three of the most common MCPs and will hear the definition of a contrast.
- I illustrate how to use R to obtain Scheffe confidence intervals.
- I complete my report to answer the question about the relationship of world view to perception of risk when taking frequent ...
Detailed Analysis of Comparing Groups On A Quantitative Response Variable Part 14
In this first video of a new series, I introduce the topic of making comparisons among I present the general formula for a confidence interval for a contrast and discuss how the three MCP methods each provide ... In this video I discuss design considerations and research validity issues when
This video explains how you can calculate the p-value and how to use it, together with the significance level, to see if you can ...
That wraps up our extensive overview of Comparing Groups On A Quantitative Response Variable Part 14.
