For this ninth discussion, think about power in our samples and the types of errors we may make. What is a real world example of type I and type II errors? For your own research interests, what would these errors look like if you were to follow through and do the research for your chosen project variables?

Lastly, click on the link below to show how different aspects of your data can increase the odds of a type I or type II error. Be sure to click on 'two-tailed' and play around with the sliders of power, significance level, and sample size.

https://rpsychologist.com/d3/nhst/