How to choose an appropriate statistical test
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- Опубликовано: 27 сен 2024
- Watch this video to see how to select a multivariate statistical test:
• How to select a multiv...
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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
If you like this video, you might also like my new video about how to select a multivariate analysis or ML method
studio.ruclips.net/user/videoXMZ_0aloVAc/edit
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.
This
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!!!!!!!
This has to be the best video I have seen in my years of trying to understand this.
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.
Thank you!
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...
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
Very well-explained! I love your approach in teaching using the algorithm and examples. Thank you so much! 🙏
Great video, simple to the point and kept a consistent graphical layout which helped my understanding even more :)
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
Very well presented with easy to understand examples. Thanks a Lot.
I’m so grateful for this explanation. It will help me on my DNP research paper. I saved it for future reference.
SUPER helpful summary video. Thanks!
Each and every ward and sentences are wisely chosen by the author.
ONE YEAR OF BIOSTST IN A NUTSHELL. ❤❤
Thankyou so much for your help ❤️❤️❤️🙏🙏🙏🙏 very informative yet brief description 👍
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!
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Awesome
Thank you so much for the comprehensive explanation.
Thank you! I wish I had this guide 10 years ago.
Thank you!
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the best explanation I've heard
This is very succinct and useful! Thank you!
Thank you!
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,.
Great video !
wow, this is amazing. Keep the great work. I've subscribed to support you
Thank you!
Very good summary
Great video! Already subscribed!
Well explained. Thank you.
Amazing vid. Got sub!!
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Thank you
Nice video!
perfect , thank u so much
Thanks!
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?
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:
ruclips.net/video/XMZ_0aloVAc/видео.html
@@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!
stat test tmr anyone??
I learned 1 year of statistics in 18 minutes Thank you
The sign of a good teacher
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.
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.
Thank you for this
Awesome summary of the topic!
Thank you, it helped me a lot!
Hey, thanks a lot for making this video. It is really helpful.
a beautiful video it is saving my life and. I will share this with my lecturer to use as an easy example for students
Very useful video, thank you
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
If the data (differences between the pairs) is skewed, you can use the Sign test.
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?
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
Sounds like a paired t-test. Check this video and see if it fits your design.
ruclips.net/video/dqK0wlWMrD8/видео.html
Really good explanation ❤
Thank you so much for this fantastic summary!
Very nice, thanks!
Thank you!
Hy, which analysis is usually followed to compare the trends of census data? For example migration. Thanks in advance.
trend analysis is usually performed by some regression method. If the data seems to be linear, try linear regression.
@@tilestats Thank you for your response. :)
thanks