Hypothesis testing

Hypothesis testing is the cornerstone of statistical analysis and the scientific method. If you are doing research or analyzing data, then you might be wanting to use statistics to draw your conclusions. Using tests like the t-test, ANOVA, chi squared and linear regression all require that you understand how using sample data can help make inference about a population. Statistical tests provide a p-value and a 95% confidence interval that can be used to accept or reject a null hypothesis.

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[mikehynz]

I love when someone makes a video explaining a concept so well that I only have to watch once, but still choose to watch twice

[cyg]

Very clearly explained thank you. However, I believe you could have briefly mentionned the central limit theorem to justify why under the null hypothesis we expect a normal distribution of sampled means. Otherwise, this is by far the best/most efficient explanation on the internet. THANK YOU :)

[simonaydevos]

Thanks Greg!
First year doing MPH courses, and finding your videos very helpful!

[haraldurkarlsson]

Martin,
Could you do a video on survival analysis one day? I would love to see your handling of the topic (and if you could couple it with R that would be even better).

[IamGodSon]

Thanks so much. For those without an MPH, but in global health, holler at your boy!

[jamesleleji]

Thanks for your lucid explanation.
Please can you do a randomized control trial video using R. It would be helpful to understanding the concept.

[joyferdinand]

Thank you, Greg, I really found this video helpful. this is the first time I am taking statistics courses and sometimes it seems pretty overwhelming.

[georgie]

Hi Greg,
Thank you so much for all your efforts in these videos, they're always so clearly explained! Do you have any videos or will you consider doing any on Regression Dilution Bias? I'm currently studying that in my Intermediate Epi module
Thanks again!

[sakanablesakanable]

Thank you so much Greg, can you please tell me what software you use for video editing?
Thanks in advance

[rehanicu]

Thanks for this presentation but I have a question if p values below 0.05 and average weight of sample falls in that proportion, does that mean this sample having sample mean 75 belong to population that doesn't have average weight of 65kg?

[jamesleleji]

Hi Greg. Can you do a tutorial on difference in differences using R where there is a test and control group to determine the impact of an intervention. Thanks

[Pandora]

Your videos are amazing!! Thank you so so so much <3

[zulqarnainsatti]

Hi Sir, could you please add raster data( satellite) for analysis in your videos? please

[felixlucanus]

Nice video. May be also worth noting that an average value is not enough to construct a distribution such as the one drawn in the video. So the hypothesis would have to include more information than just the mean value to construct the distribution.

[mandelahyacinthe]

And why was nul hypothesis was rejected in this cases when it is clear avarage weight of men in Ireland is 65kg? (Which was the nul hypothesis)

[mziegl]

Can you do a video on mirror writing? Thanks for this one too.

[laaxmi]

I paid money but no video bytes are getting

[amylawsongill]

I don’t understand the background music… why ruin a video

[Sergiuss]

Terrible explanation. You should probably use more precise language. The "sample falls into 2.5%" in what way?