How to choose an appropriate statistical test

[@tilestats]

If you like this video, you might also like my new video about how to select a multivariate analysis or ML method studio.kzbin.infoXMZ_0aloVAc/edit

[@we-are-electric1445]

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.

[@DSScully]

This

[@riyaaa.sharmaa]

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 much!!!!!!!

[@clma75]

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,.

[@sebinpark1638]

I learned 1 year of statistics in 18 minutes Thank you

[@wenmockan]

The sign of a good teacher

[@Travelll_World]

Can't find - "simple, soft spoken, very easy to understand, proper pause in speech, perfect diagrammatic with examples explanation" on internet. Wonderful teacher 🙏🙏🙏

[@alirasteqar243]

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

[@tilestats]

Thank you!

[@user-jq6lu]

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...

[@AMADIGIFT-ui8ud]

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.

[@calyinedu]

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

[@fionaxacur1283]

Thanks!

[@SUMITKUMAR-dy8ic]

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

[@BJ_design]

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

[@aganmariadonnafem.7915]

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

[@anubhutisingh8863]

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

[@dirkaloha]

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

[@aubreyhoward2673]

SUPER helpful summary video. Thanks!

[@radhabane7941]

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

[@danorts9577]

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

[@amanytaahmed3583]

Amazingly illustrated! Thank you so much! ❤️

[@elenapopova4569]

Awesome video! I am completely new to stats and this video obviously will safe my live! Thank you very much! I wish you all the best!

[@Alka_Kavyanshi]

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

[@smr0018]

Awesome Thank you so much for the comprehensive explanation.

[@tilestats]

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.

[@mdmahmudulhasanmiddya9632]

U r very knowledgeable person sir.

[@sarambe]

a beautiful video it is saving my life and. I will share this with my lecturer to use as an easy example for students

[@anubratadas1]

Thank you so much for this fantastic summary!

[@inna_b_26]

the best explanation I've heard

[@GauravK-y2d]

Hey, thanks a lot for making this video. It is really helpful.

[@ragulajay7197]

Amazing explanation , “The best”

[@abhijitmondal4850]

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

[@tedransom8087]

Thank you! I wish I had this guide 10 years ago.

[@tilestats]

Thank you!

[@tilestats]

It is now possible to buy this video as a pdf. payhip.com/TileStats

[@JulieZhou-1017]

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

[@digitalsustainability]

This is very succinct and useful! Thank you!

[@tilestats]

Thank you!

[@sananalungu6425]

Really good explanation ❤

[@felekeassefa1320]

Great video !

[@carlospazymino7405]

Amazing thank you so much.

[@sahilkathuria9850]

Best summarisation video I have come across. Just one doubt, in case of Paired study for a continuous variable , and if data distribution is not normal, say higly skewed cant we use Wilkcoxon signed rank test as you mentioned in the video that we need to have symmetric distribution in order to apply Wilcoxon test

[@tilestats]

If the data (differences between the pairs) is skewed, you can use the Sign test.

[@sumanamaggy1093]

Data between the pairs is skewed means, their means are so different? How to find it without doing t test or should we simply do histogram and find wthere they are skewed or not?

[@supa.scoopa]

Wow. Thank you so much

[@sridharr2025]

Very useful video, thank you

[@Mayuri-f7i]

Thank you

[@RevisionNotes_hcleelars]

Very good summary

[@dr.anasababneh284]

wow, this is amazing. Keep the great work. I've subscribed to support you

[@tilestats]

Thank you!

[@SzehangChoi]

And you my friend, you are the real hero

[@rafaurendez3683]

Great video! Already subscribed!

[@abm_kamrul_hasan]

Well explained. Thank you.

[@malishavanderberg4228]

Thank you for this

[@pedrohenriquecarneiro904]

Nice video!

[@niloofarkh4779]

perfect , thank u so much

[@rachelmarieaclao4032]

thank you sir

[@fiddlesticks6146]

i'm seeing quantitative continuous data and qualitative ordinal vs nominal data on the flow chart, but what about quantitative discrete??

[@tilestats]

Those kinds of data are usually count data and I would suggest you have a look at Poisson regression in that case.

[@abdul2651]

Amazing vid. Got sub!!

[@애라-y6e]

good video but what if I have to compare two group of data, and one of it appeared to be normally distributed and other is skewed, so should I proceed with parametric or non parametric test

[@tilestats]

Both groups should be normally distributed to use, for exemple, a t-test. So use the non parametric test in such a case.

[@애라-y6e]

@@tilestats even though the p-value for the skewed data is normally distributed?

[@tilestats]

p-value from what test? Shapiro-Wilk?

[@애라-y6e]

@@tilestats yupp

[@tilestats]

If the p-value is larger than 0.05 from Shapiro-Wilk in both groups, you can use a t-test. Watch this video to understand how to check normality kzbin.info/www/bejne/o3TSYqqJgc18rKssi=xsW_J-x9fuunXRmP

[@nabeelakhtar7528]

The video assumes that we have just one variable. In that case we can easily follow the flow chart and get the test. But, what if there are different types of variables? like two continuous variables? or one categorial variable and one numerical variable? how do we select a test?

[@tilestats]

For two continuous variables you can use, for example, correlation or linear regression. If you have one categorical variable and one numerical variable and like to see if there is a difference between the categories, you should follow the tree from "Difference". For multivariate methods, you can have a look at this video: kzbin.info/www/bejne/jn69kGOXodSJd8U

[@nabeelakhtar7528]

@@tilestatsi have seen the video you recommended, however, it is quite complicated. Can you make one similar to this one, but which takes two variables into account? It would be good if you make a chart so we can follow easily. Thanks!

[@백경민-j1l]

Very nice, thanks!

[@tilestats]

Thank you!

[@imammaobi]

@Emmanuel Onuoha .Interesting .

[@NEPALAYA185]

Hy, which analysis is usually followed to compare the trends of census data? For example migration. Thanks in advance.

[@tilestats]

trend analysis is usually performed by some regression method. If the data seems to be linear, try linear regression.

[@NEPALAYA185]

@@tilestats Thank you for your response. :)

[@sumanamaggy1093]

I have done case control matching so i have 110 data points out of which 55 are matched with other 55, now i have continuous variable, which test to use

[@tilestats]

Sounds like a paired t-test. Check this video and see if it fits your design. kzbin.info/www/bejne/mqKuYaqijLKlepo

[@ela6865]

thanks

[@ryeedzaman380]

stat test tmr anyone??