Parametric and Nonparametric Tests

Parametric and non-parametric tests: If you want to calculate a hypothesis test, you must first check the prerequisites of the hypothesis test. A very common requirement is that the data used must be subject to some distribution, usually the normal distribution. If your data are normally distributed, parametric tests can usually be used, if they are not normally distributed, non-parametric tests are usually used.

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Parametric and non-parametric test calculator

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[gbassaykamara]

I am grateful for finding your videos.
I have been having great difficulties in finding the difference between Parametric and Non-Parametric Tests. I am a Statistics major student at the University of Sierra Leone (USL) and I believe I am in the right place for learning more about my course. Thank you @DATAtab

[johneagle]

Thank you. The table showing the parametric tests and their non-parametric counterparts is very useful.

[UnapologeticallyMuslimah]

Why am I interested in this topic? Because I have an exam I don't want to fail

[Happyticcer]

Thank you much for this fab video. Beautifully presented and clear diction throughout... Perfect for my revision.

[mueslimjamm]

Super easy to follow! Thank you for helping me to find my way in the jungle of statistics :)

[andresm]

Remember that these are only assumptions, It is not required normally distributions in order to use parametric tests. Usually these tests are very robust (e.g., ANOVA), and will probably have the same results.

[juranmezka]

Such a useful dear ma'am.. May God Bless You!

[nadiyatariq]

Best thing I came across today .... Awesome explanation

[mulugetabuche]

wow, what kind of presentation this is, I'm satisfied

[tsegayewedajo]

This is very critical subject in statistical techniques applicable in research. Mostly I was confused in such a way that they are talking about qualitative and quantitative research.

[sahifasultana]

Nicely explained!!
Lots of love from India

[karishmasingh]

How do we come to know that data is normally distributed

[arturleperoke]

Hey @DATAtab,
I think parametric test like the t-test/Anova do not care about the distribution of the population data or the sample data -> it is important that the sample means should follow a normal distribution.
Also parametric tests like simple regression /multiple regression only care about the distribution of the error-term following a normal distribution, so again not that the population or samples follow a normal distribution

[maumitabhaumik]

Thank you for the But you did not talk about the chi-square test and fisher's exact test. Where do they fall in the chart?

[banajitdeka]

I am glad to found your videos'...Thank you some much

[MrDavidaslv]

awesome explanation !!!! best it just took 5 minutes lol thanks a lot

[scramah]

Could you please clarify 1:55 through 2:17? Why would a small sample size and/or a small salary difference lead one to reject the null hypothesis?

[naoremanand]

If one sample is normally distributed and another not normally distributed which correlation i have to use?

[constantinifrim]

Hello! How to apply the non-parametric u-mann-whitney test for two samples EE:5, 7, 6, 9, 8, 7, 10, 4, 3, 6, 7, 8 and EC:4, 8, 5, 7, 10, 10,3,4,7,9 ? (values ​​represent marks obtained) Thank you!

[charmaine]

Chi square can be used for non parametric tests right?