How to choose an appropriate statistical test

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Watch this video to see how to select a multivariate statistical test:

In this video we will see how to choose among the following statistical test: one-sample t-test, paired t-test, unpaired t-test, repeated-measures ANOVA, one-way ANOVA, Wilcoxon signed-rank, sign test, WMW, Mann–Whitney U-test, Friedman, Kruskal-Wallis, McNemar, Chi-square, one or two proportion Z-test, Pearson correlation, Spearman correlation, chi-square goodness-of-fit, the one-proportion Z-test, linear regression, Fisher's exact test
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If you like this video, you might also like my new video about how to select a multivariate analysis or ML method

tilestats
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A really good summary. There are not enough videos like this. There are too many videos out there telling you about statistics but not how to use them and which test should be used where.

we-are-electric
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This has to be the best video I have seen in my years of trying to understand this.

xnibktx
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I learned 1 year of statistics in 18 minutes Thank you

sebinpark
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This is literally the first time I’ve understood the tests. Very crisp and a very very good video explaining all concepts. Thank you sooo so sooo

riyaaa.sharmaa
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This is so great. You're a good teacher, you explained what I have been trying to understand for more than a year in less than 30 minutes.
You just got a new subscriber.

AMADIGIFT-uiud
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I found this very helpful for choosing how to analyze my data for my project. This is the first video out of a gazillion watched that effectively summarized this information in one video, .

clma
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This video explains in detail about the concepts and the same time takes away apprehension, skepticism whether we will ever be able to understand the basics of it..
Hats off to the content creator.. i have been trying for months to recollect regarding statistical test but could not find means to do it.

Thanks a lot

SUMITKUMAR-dyic
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More Than 10 years I have tried to find something like this. Great, All other except this video are not complete or totally garbage.

alirasteqar
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Thank you so much... was at my wit's end as I flunked stats last semester and had to resit the module. Chanced upon your video playlists which helped greatly! Am never good at maths. Viewed almost all 47 videos where you explained in such good layman terms until even I can understand. Today's exam results day and I finally cleared stats!!! Have subscribed...

jqlu
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So good, I will spend more time watching all your videos!!!

JulieZhou-
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Very well-explained! I love your approach in teaching using the algorithm and examples. Thank you so much! 🙏

aganmariadonnafem.
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Great video, simple to the point and kept a consistent graphical layout which helped my understanding even more :)

BJ_design
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Each and every ward and sentences are wisely chosen by the author.
ONE YEAR OF BIOSTST IN A NUTSHELL. ❤❤

abhijitmondal
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Very well presented with easy to understand examples. Thanks a Lot.

anubhutisingh
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Thank you so much...
Very grateful for this informative presentation with video.. The examples covered are simple and easy to understand.. I m pursuing my phd and was really stuck with data analysis chapter

radhabane
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I’m so grateful for this explanation. It will help me on my DNP research paper. I saved it for future reference.

dirkaloha
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I got this comment "Great summary video! Do parametric assumptions for the Pearson test mean that all the independent and dependent variables have a normal distribution? So if just one of the independent or dependent does not fit normal distribution in our dataset, Pearson should not be used?"

Answer: Note that the variables are not defined as independent or dependent in correlation. It does not matter, which variable you put on the x- or y-axis (in contrast to linear regression). Each pair of variables should show a bivariate normal distribution but more importantly, the data should not contain outliers as I describe in the video about the Spearman correlation.

tilestats
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Awesome summary of the topic!
Thank you, it helped me a lot!

danorts
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Thankyou so much for your help ❤️❤️❤️🙏🙏🙏🙏 very informative yet brief description 👍

Alka_Kavyanshi
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