This video gave me a better understanding of calculating a Type II error and allowed me to better understand the difference between alpha and beta errors.
Omg I also watch your crime videos so I got very disoriented when I started this video while working on my PhD proposal and heard “hello this is Dr Grande”… 🤣 crime, stats and psychology, that’s what I call a triple threat
Dr Grande thank you so much, but this is for data with only one variable. What if I have to do a power analysis and interpret type II error for up to five variables in one study?
Thank you for the video! However, I misunderstood the formula for calculating the Beta value. In the first example, n = 45, Alpha = 0.05, effect size = 0.233, and Power = 0.880 how did you find the value of 0.12 for Beta?