2 Discussion Questions The F-Statistic & Re: ANOVA - Now What?

by ZACHARY DILLE Last updated, Jan 31, 2019, 5:40 PM

Topic #2

Re: The F-Statistic

1. You brought up a few excellent points in your post. The regression analysis really helps us to identify the overall variables that have an impact on the study. However, this is generally a bit of a tough area for us to fully understand at the start of the study itself. Once we do understand these elements, we can then determine which to work with and which to ignore. With that said, what methods can we use to give us an accurate estimate on which elements we need verse those that we do not? F-Test help us to better understand the overall impact of the data verses our linear regression and helps to eliminate the independent variables, I agree, but what is the overall real world application of F-Testing? How would this be used in modern business systems to help management make more sound choices on the impacts that their data has on the business overall?

Topic #3

posted by JONATHAN EDELMAN , Jan 31, 2019, 8:06 AM

Re: ANOVA - Now What?

2. So far these is an obvious show of understanding of the ANOVA process for both one factor and two factor versions. But remember the Ho for ANOVA is that all of the means are the same. If we reject Ho and see that one or more of the means is different, how do we find which ones are the different ones? Thoughts on the subject?

Ch. 11:

3. ANOVA and the F-Test posted by JONATHAN EDELMAN , Jan 31, 2019, 7:57 AM

Here is a question I am often asked - if ANOVA is testing if means are the same or different, why do we use the F-Test which measures how variances differ? Any thoughts? (I do know the answer, by the way).