T-test, ANOVA and Chi Squared test made easy.

Statistics doesn't need to be difficult. Using the t-test, ANOVA or Chi Squared test as part of your statistical analysis is straight forward. You do need to understanding the underlying principles of hypothesis testing and p-values of course. You need to understand when to reject the null hypothesis and accept the alternative hypothesis if you are going to make any inference about the population from your sample data. If you are doing any data analysis or statistical analysis then this video is a must. If you are an aspiring data scientists or doing quantitative research, then this is a good place to start.

SUBSCRIBE:
--------------------

BECOME A MEMBER
---------------------------------

This channel posts global health and public health teaching videos and videos about how to find the right job in global health. If you haven't already, please consider subscribing to this channel and becoming part of this community. The channel also provides teaching on research methods, statistical analysis and how to write and publish a scientific paper.

LETS CONNECT:
---------------------------
Twitter: @drgregmartin

[gilangignasraharjo]

It's not "Super Duper Easy" but you made it easier. Thank you sir

[gunamrit]

Ryan Reynolds teaching me stats is the best combo I could ask for !
Thank You so much!

[hisnibs]

Thank you Greg. This is the second of your videos on quantitative analysis I've watched, and I really like both your style and the pace at which you proceed through this stuff. It's ideal for me and for my current purposes - revising for work purposes, against a tight deadline, stuff I haven't done for many decades, and probably only half-understood at the time, .

[rauldhruva]

I had to watch the video couple of times and a playback speed of 0.5...
Concept is crystal clear now
Thanks a lot!

[md.masumomarjashim]

The code with statistical videos would make our day.

[bagmdrano]

i had to research the appropriate stat tests with no guidance for my dissertation (not a biostat student). this short video put my mind at ease. thank you!

[kelseysbookrecs]

you're single-handedly getting me through school

[haraldurkarlsson]

Greg,
Another solid video. One thing that I was taught in statistics is that we never accept the NULL hypothesis. We either reject it or fail to reject it. I guess it is because there is always a chance - even at p=0.05 that the hypothesis might be correct even when we reject it etc. (false positives and such). Also does the variance not have to be the same in these samples or populations that we compare?

[taffy]

Thank You. Your teaching style is excellent. I have had so many light bulb moments while watching your videos.

[MoumitaHanra]

Amazing! Not everyone teaches us say all possible scenarios of implementing each hypothesis test..very helpful!

[alexfrank]

TIL when to use which test to check significance of hypotheses:
- If two means, then use paired t-test

- If three means then use ANOVA

- If more use Chi-squared

[adelalsaeedi]

How I wish there would be a translation of a video to support the channel. The channel is beautiful in science. Raising the number of views is suggested to you
Cc

[ishangoinyambo]

Is anyone else here because of the Harvard sandal? While am still here thank you for this good explanation👏

[mirandacox]

Love your videos, still! I always find your explanations the best ever.
Thanks for the work!

[tombayes]

Great informative video Greg, thanks! One question - if your ANOVA result is significant, leading you to follow up with post-hoc tests, such as a t-Test with some kind of family wise error rate adjustment such as bonferroni, why bother with the ANOVA in the first place? Couldn't you just run the t-Tests and adjust the p-values for the number of tests (as per bonferroni), making the ANOVA redundant. I appreciate for lots of groups this would be time consuming but is that the only benefit of the ANOVA in that case, efficiency? I can't see how it offers any extra protection against type 1 error if the end result is to run t-Tests and report corrected p-values anyway? Appreciate any thoughts! Thanks and keep up the great vids.

[Biostatistics]

Hi Greg, this is another wonderful video. Please may I know what software you use for video editing as well as animations? Thank you in advance

[anggipermanaharianja]

This vid is legit.... please keep the good work!

[jamesleleji]

Thanks for providing this tutorial, Greg.
Suppose we have a baseline data and post intervention data.
How can the following test of significance be performed in R or what kind of test is appropriate to perform?
T-Test to Determine the Statistical Significance of the Baseline Food Security
T-Test to Determine the Statistical Significance of the Post Intervention Food Security
T-Test to Determine the Statistical Significance of the Difference of Differences of Food Security

[felixlucanus]

Nice video. It may be good to clarify that the assignment of the null hypothesis to a statement is arbitrary. For example if the "life expectancy" example was worded differently, the null hypothesis, H0, could have been "Mean life expectancy IS NOT the same" and H1 could have been "Life expectancy IS the same." The meaning of the null hypothesis in this case would have been flipped from the example the video.

[notdave]

Thanks for the vid! Tho could you maybe not use the scratching noice when putting new things in? It really is painful haha