If you like, please find our e-Book here: datatab.net/statistics-book 😎
@gbassaykamara14572 жыл бұрын
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
@datatab2 жыл бұрын
Great to hear! Many thanks for your feedback!!! Regards Hannah
@Chillersnowman8 ай бұрын
@@datatabI have test at wednesday, good luck for me.😅😅😅😅
@Sarah_Pixie8 ай бұрын
@@Chillersnowman You got this!!
@johneagle43842 жыл бұрын
Thank you. The table showing the parametric tests and their non-parametric counterparts is very useful.
@datatab2 жыл бұрын
Glad it was helpful!
@Happyticcer Жыл бұрын
Thank you SOOOOO much for this fab video. Beautifully presented and clear diction throughout... Perfect for my revision.
@mueslimjamm2202 Жыл бұрын
Super easy to follow! Thank you for helping me to find my way in the jungle of statistics :)
@nadiyatariq18226 ай бұрын
Best thing I came across today .... Awesome explanation
@UnapologeticallyMuslimah2 жыл бұрын
Why am I interested in this topic? Because I have an exam I don't want to fail
@datatab2 жыл бұрын
Then all the best : )
@annawhyte5890 Жыл бұрын
That's me right now
@samanthamakhafola3014 Жыл бұрын
Same here
@gladysnakirijja431 Жыл бұрын
Funny
@samiyaahmed9797 Жыл бұрын
😢 same we are
@andres18m2 жыл бұрын
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.
@datatab2 жыл бұрын
Yes that's right of course! Many thanks for the feddback! Regads Hannah
@mulugetabuche6128 Жыл бұрын
wow, what kind of presentation this is, I'm satisfied
@juranmezka86312 жыл бұрын
Such a useful dear ma'am.. May God Bless You!
@sahifasultana58002 жыл бұрын
Nicely explained!! Lots of love from India
@datatab2 жыл бұрын
Glad you liked it!
@tsegayewedajo9492 жыл бұрын
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.
@saadiachaudary Жыл бұрын
Qualitative data is in quantitative research. Qualitative research is totally different where coding is done that does not deal with mean medians
@arturleperoke3205 Жыл бұрын
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
@datatab Жыл бұрын
Hi, many thanks for your feedback! hmmm, if the sample data is normally distributed, isn't the mean also normally distributed? Since one draws usually only one sample, and thus there is only one mean value, one cannot examine in practice in any case whether the mean values are normally distributed, but only whether the data are normally distributed! Please correct me if I am wrong! Regards, mathias
@arturleperoke3205 Жыл бұрын
@@datatab Hi Mathias, it is not my place to correct you or your team, but many thanks for reacting to my concerns!! I know that you often find the assumption in statistic-books that normality (or near normality) of the population data is a precondition for t-test´s and ANOVA´s. But when I was younger I learned that with a big enough sample size the CLT gives us a normal distribution of the sample means regardless of the sample data distribution or of the population data distribution. And that seemed to be the fantastic magic of the CLT: since we often do not know the complete population (and its distribution) we can rely on the CLT to give us a normal distribution of the sample means to perform test´s and give Confidence Intervals for the means etc. Also there exist t-test´s for binomial data and the distribution shape of binomial data is certainly not normally distributed. This is a rather naive question from my side but because of what I wrote above: why than bother with non-parametric tests at all? The only reason that comes to my mind is "whenever I have veeery small samples and no knowledge of the population distribution"
@arturleperoke3205 Жыл бұрын
@@datatab did you mayhap have had time to talk to collegues about question (why to bother with nonparametric tests at all when the CLT (+ robust sample size) seems work "magic" regardless of the underlying population or sample distribution). Also, If I have been unclear in what I meant, I found a video with Dr. Todd Daniel that more visually describes what I meant about the CLT and sample mean distribution (or any other sample parameter-of-interest distribution). kzbin.info/www/bejne/fZTJiqxobNN1nbs
@Rosario-o7fАй бұрын
Thanks for these videos.
@banajitdeka3109 Жыл бұрын
I am glad to found your videos'...Thank you some much
@johnyrusoc7 ай бұрын
So helpful videos!
@datatab7 ай бұрын
Glad you like them! Regards Hannah
@namratajain921 Жыл бұрын
Simply explained 👍
@datatab Жыл бұрын
Thanks : ) Hannah
@namratajain921 Жыл бұрын
@@datatab My name's Namrata not Hannah. It's okay though
@datatab Жыл бұрын
@@namratajain921 : ) But my name is Hannah : ) it was like "Thanks, Regards Hannah"
@namratajain921 Жыл бұрын
@@datatab 😂hahahaha, I'm sorry bro ❤️
@maumitabhaumik89472 ай бұрын
Thank you for the video........... But you did not talk about the chi-square test and fisher's exact test. Where do they fall in the chart?
@SohaFayadGanama2 жыл бұрын
MANY THANKS IT WAS SO HELPFUL
@dillipmeher Жыл бұрын
Very nice explanation
@fatemehsh13912 жыл бұрын
Thank you very much
@datatab2 жыл бұрын
Many thanks!!! 😊 Regards, Hannah
@icarelasuth42113 жыл бұрын
Thanks...Very helpful.
@datatab3 жыл бұрын
Thanks for your feedback! Regards Hannah
@koushikmondal95748 ай бұрын
Thank you 🎉
@datatab8 ай бұрын
You’re welcome 😊
@karishmasingh37372 жыл бұрын
How do we come to know that data is normally distributed
@datatab2 жыл бұрын
Please have a look here: datatab.net/tutorial/test-of-normality
@nikhilmadiwal54442 жыл бұрын
Normality test need to be done
@nishantshade6682 жыл бұрын
This was a really nice and informative video. But I do have a question. Under what category (Parametric or Non Parametric) will tests like Wald test and Likelihood Test come??
@datatab2 жыл бұрын
Hello, thank you for your feedback! I'm not 100% sure and would have to research it myself first, but I think both are not parametric! But as I said, better check again yourself!
@kw9158 Жыл бұрын
Why is the t-test, chi2-test, anova function no longer available? Just looking today, and it's no longer a test that you can use.
@nielalfredtorrero8046 Жыл бұрын
Thank you
@gladyskyambadde99762 жыл бұрын
so helpful
@datatab2 жыл бұрын
Glad it was helpful! Regards Hannah
@jann95079 ай бұрын
3:00 table of tests
@constantinifrim1184 Жыл бұрын
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!
@manikantareddy18309 ай бұрын
Link for your video on dependent and independent variables???
@siddharthvm82622 жыл бұрын
Thank you 👍
@datatab2 жыл бұрын
Thanks for your Feedback!!! Regards Hannah
@charmaine73012 жыл бұрын
Chi square can be used for non parametric tests right?
@datatab2 жыл бұрын
Yes : ) Regards Hannah
@naoremanand2 жыл бұрын
If one sample is normally distributed and another not normally distributed which correlation i have to use?
@datatab2 жыл бұрын
Spearman, because one sample is not normal and thus are the assumptions for pearson not met.
@originalvonster10 ай бұрын
1:30 parametric tests are more powerful
@lilac6247 ай бұрын
Are 30 respondents enough for parametric tests?
@datatab7 ай бұрын
Hi, the Central Limit Theorem suggests that with a sufficiently large sample size, the sampling distribution of the mean approaches a normal distribution, regardless of the distribution of the population. Typically, sample sizes of 30 or more are often considered adequate for the central limit theorem to hold, which can justify the use of parametric tests. However, this is a general guideline and might not apply in all situations, especially if the data are heavily skewed or have outliers. Regards Hannah
@maheerasyed97542 жыл бұрын
Can you explain why nominal measurements use nonparametric?
@kowtharhassan8822 жыл бұрын
Are non parametric data guantitative?
@datatab2 жыл бұрын
Yes!!! The distribution of the data is just not normal!
@sandygamage15862 жыл бұрын
the data set was non parametric and I did spearman correlation for that...and I want to know what test should I do for regression analysis...is there separate rate test for non parametric data
@sonitclef8675 Жыл бұрын
What did you end up doing?
@scramah1952 жыл бұрын
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?
@sonitclef8675 Жыл бұрын
I'm also struggling to understand this too. It sounds contradicting, so maybe I'm thinking about it wrong 🤔 😕
@sonitclef8675 Жыл бұрын
I think that's because EVEN though it's only a small difference and a small sample size with doing a parametric test it'd enough to reject the null hypothesis???
@pavankumarmothukuri2227 Жыл бұрын
For my todays exam
@FetInker Жыл бұрын
Watch your wideo about it?
@deepaksharma-je2rx2 жыл бұрын
How can I contact to you
@datatab2 жыл бұрын
How can I help you? Regarding advice I have currently unfortunately no time!
@momenr.salama95232 жыл бұрын
She really sounds like killjoy from valorant, I think I'm in love.