Using Past for t test, ANOVA, Mann-Whitney, and Kruskal-Wallace
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- Опубликовано: 9 фев 2025
- A video explaining how to use the statistical analysis program Past for univariate tests comparing two data sets or three data sets. I also explain the differences between when you should use a t test, ANOVA, Mann-Whitney, or Kruskal-Wallace test as well as how to interpret the output and what those numbers mean for your results.
(Watch the video on testing for normality before using this video)
thanks!! you are a lifesaver, for real. I understood more with you in these 3 videos than with all my profesors
I am so happy to hear that it helped you!
God bless you for making this demonstration so assessable
Thank you so much, it was so helpful.
Thank you so much for this. It was really helpful.
Hi, I am trying to find out if my data is significant. I have the total number of 4 beetle species collected at 5 different sites, what test do I use to compare them to 1. each other? 2. within each species, the comparison of the number of beetles collected at the different sites?
Thank you so much
Thank you for your explain about ANOVA. I'm sorry, i want to ask you about One way ANOVA and Two way ANOVA. What is the different about it? And in your video, you are using four data but with One way ANOVA. Is it okay? Thanks before
Can I do ANOVA if the homogeneity of variance is less than 0.05?
nice! thanks for the lecture. hope you can make more statistics video, in PAST, Primer or R
May I use it for non-homogeneous time series analysis?
i love you!....tysm
Very good, thanks ❤❤
thanks a lot! It was really helpful.
Thank you, thank you, thank you
Amazing video Thanks,
Helped me a lot
Amazing, thank you!!
thanks for the video
Emmm I think that you did mistake during reading p values. In ANOVA the p(same) for F test determinate statisticaly significant difference between groups means (in parametric test), the Levene's test p(same) inform us about differences in variance (same variances in all groups are required for ANOVA). So thing which is crutial to determinate significance is F test p(same).
What is your email? I would like to clear some questions.