Variance Analysis Puns

I have started a series of posts on the ACC forums that look into some advanced analysis techniques that go beyond looking at just traces and really getting the most out of the data using statistical techniques. Just recently I posted a fairly in-depth post on dampers and the histogram that contains information that you do not see often enough.

Though I try to make it simple for any racer to pick up, I would only recommend this info for those who have a passion for race engineering or looking to take their league racing much more seriously. It is my hope that these posts will help players of all skill levels use data in a more effective manner and to see their driving from a wider perspective.

I am around to answer any questions you may have about data analysis, if you have any criticism or feedback, or anything else. Thanks for reading!

Dampers And The Histogram

New Ways To Look At Variance

Analyzing Corners Using Corner Radius

Gating And Math Channels

I also have plans to write posts on analyzing understeer/oversteer characteristics and roll stiffness. I'm also open to any suggestions about topics you all might have.

Hey everybody. I’ve got my bec retake next week and got wrecked with variance analysis the first time through and trying to brush up. Is there a good resource out there for the pure dads truck? Becker kind of dropped the ball with this part IMO.

I wanted to use ANOVA but have only two samples. So, t test is more appropriate. But, which t test? Within excel you get one for mean, and two sample assuming unequal/equal variance. I think F test will be more appropriate to use in place of ANOVA because, again, it is test for variance!!

Please help me understand. I will be indebted to you.

Moreover, do you guys think stock market returns do not meet the assumptions required to perform any of these tests and ANOVA?

As I’m going through these I find problems with a ton of info and I’m just not sure if it’s comparable to the types of variance analysis questions that I would get.

Anyone have a good way at learning and practicing variance analysis?

Hi all,

Hoping someone can help with a problem I'm having. I would like to run an ANCOVA with one between-participant factor (2 groups, n = 35 in each group) and one continuous covariate. However, the variance in the DV is unequal across the two groups (SD = 1.05 in one group and 1.55 in the other) and the Levene’s test is significant (p = .02). My understanding is that ANCOVA is unsuitable when this assumption is not met?

Could anyone advise how to run a similar analysis when the homogeneity of variance assumption is not met?

I was thinking of regressing the DV onto the covariate and then running an ANOVA with the Welch’s test and the residuals from the regression as the DV, although I’m guessing this may be problematic for some reason that I don’t know?!

Thanks in advance!

I enjoyed stats 2080 and 2340 intro to data mining seemed easy and fun too. Is this course predominantly about R? Not the biggest math fan. How’s is the workload? Thanks

Does anyone have any tips for this? I'm struggling to remember all the different variances and calculations. Have probably watched the open tuition video 3 times now. Any tips or other resources anyone knows would be appreciated. Thanks!

For AMOVA (Molecular Variance Analysis), I want to realize difference between Haplotype and DNA seq or Microsatellites. I've read a paper which said transforming the binary data (strict infinite site model) . Can anyone explain this strict infinite site model ?