If you like, please find our e-Book here: datatab.net/statistics-book 😎
@alisa23736 ай бұрын
I just bought a license for datatab as a token of respect for your teaching skills. Dear Dr. Volk-Jesussek, you rock!
@datatab6 ай бұрын
Wonderful! Many many thanks for your nice feedback!!!! Regards Hannah
@kamal123452012 жыл бұрын
after several months of search for the best videos , finally i found ...thank you so much for such a wonderful videos..
@datatab2 жыл бұрын
Many many thanks!!!!
@abdelleahmed5165 Жыл бұрын
DATAtab thank you for the selfless effort you put into creating these videos. I'm grateful to you, especially to you miss ✌️
@mulugetabuche61289 ай бұрын
unbelievable, what kind of presentation this is
@vyduong276 Жыл бұрын
15 minutes till my submission deadline and I found you. Thank you so much ✌
@ImtiazAhmad-hg4yk2 жыл бұрын
You are one of the best teacher
@datatab2 жыл бұрын
Many thanks!!!!
@vaishnavib21952 жыл бұрын
THANK YOU SO MUCH. Your videos are very insightful and simplified to be understood
@datatab2 жыл бұрын
You're very welcome! Many thanks for your nice Feedback! Regards Hannah
@rhondaallen54479 ай бұрын
Great explanation on Normal Distribution!
@khalidfatni96672 жыл бұрын
Such a life saver explanation 😍❤ Thanks a lot.
@datatab2 жыл бұрын
Glad it was helpful and many thanks for the Feedback! Regards Hannah
@hamidD2222 Жыл бұрын
Can I ask a question about normal distribution as part of the assumptions in ANOVA please? Are we looking at normal distribution for the whole set of data or for each independent variable group? Say we're doing a one way ANOVA without repeated measures and we have 3 groups (A, B, C) who had one dependent variable measure (weight). Should we run normality test for each of A, B, and C ? Thank you
@mossmoss20194 ай бұрын
youre better than my teacher omg thank you
@pierrewilliam71197 ай бұрын
Wonderful teaching !
@datatab7 ай бұрын
Many thanks!
@ganesh-200510 ай бұрын
00:02 The video explains testing for normality. 01:00 Normality tests check if data fits a normal distribution 01:56 P-value and normal distribution 02:50 Normality tests help to check distribution types 03:52 Large sample size can lead to rejecting the assumption of normal distribution based on small p-values. 04:53 Use QQ plot for better assessment of normality 05:49 Using data tab for testing normal distribution 06:52 Understanding the importance of normality test in data analysis Crafted by Merlin AI.
@shimelisdekeba49052 жыл бұрын
Very nice explanation you have done with DATAtab. I need to know how it can be done in Excel sheet.
@datatab2 жыл бұрын
Thanks for your nice feedback! : )
@davidmanoa3574 Жыл бұрын
Good work, clear explanation
@DeadEndFrogАй бұрын
Why don't we assume the data isn't normally distributed? Is it because its much more difficult to disprove?
@JimmyMunandar2 ай бұрын
Are the residual normality test and the data normality test one and the same, or are they separate? I'm still a bit confused. As far as I understand and have learned, the residual normality test checks the normality of the difference between the observed y and the predicted y from a model (usually used in regression tests), while the data normality test examines the normality of the original data (typically used in paired tests like t-tests and ANOVA).
@mospher925324 күн бұрын
Excellent
@siddhantchatterjee48112 жыл бұрын
What are the two visual methods that the presenter mentions?
@debatradas1597 Жыл бұрын
thank you so much
@datatab Жыл бұрын
You're welcome!
@ahmedsharkawy93712 жыл бұрын
Good job
@datatab2 жыл бұрын
Many Thanks : ) Regards, Hannah
@eltlisteningtasks8687 Жыл бұрын
What is the degree of freedom in Shapiro-Wilk test ?
@datatab Жыл бұрын
Hi the concept of "degrees of freedom" as commonly discussed in statistics (e.g., in the context of a t-test or chi-squared test) isn't directly applicable to the Shapiro-Wilk test in the same way. The Shapiro-Wilk test doesn't yield a "degrees of freedom" value like some other statistical tests. Instead, the test involves computing the W statistic based on the observed data and expected values under a normal distribution. The critical value to which you compare the W statistic depends on the sample size, and tables or software often provide these critical values for various significance levels and sample sizes. Regards, Hannah
@shitejw49452 жыл бұрын
i have question. i have done 2 research hyphotheis and their normaality tests.For eg i have said ho the perceivness . bout social media follows normal and h1 follows not normal.My test shows both my objectives are not normally distributed .so how to interprete in disccussion chapter and conlunsion
@Alias.Nicht.Verfügbar27 күн бұрын
thanks!
@Poonams5862 жыл бұрын
What to do when normality test is positive for one parameter and negative for other parameter .
@datatab2 жыл бұрын
Then you look at the graphical solution and decide with best conscience. It is best if you also mention it in your research!
@Poonams5862 жыл бұрын
@@datatab thank you
@roguecats1436 Жыл бұрын
Instead of obtained score can normal distribution test be applied on likert response?
@Vinit_Gambhir8 ай бұрын
I love you guys ❤
@dianakatherinneriosmoyano75302 жыл бұрын
Thanks, great job
@datatab2 жыл бұрын
You're welcome and thanks for the nice feedback! Regards, Hannah
@naderbazyari26 ай бұрын
Herzlichen Dank
@datatab6 ай бұрын
Gerne : ) LG Hannah
@aminaabdulmelik42102 жыл бұрын
We should do this for all kind of study like crosectional study?
@AS_CAN6 ай бұрын
Thanx ❤
@jintoej21492 жыл бұрын
Thank you so much😍
@datatab2 жыл бұрын
You're welcome 😊
@amogh21012 жыл бұрын
For data that is collected in a Likert Scale, won't the data always violate the normality assumption? Because, the likert scale takes discrete values.
@LambTikka Жыл бұрын
What accent it is?
@abdul_raheemshahzad38552 жыл бұрын
wow mam well explaniation about normalilty test, but I have question that for analitical method we have a threshold of 0.05 i.e if results are less than 0.05 we can say that data is not normal and vice versa, but for graphical method what if the data is near to normal distribnution, that when we can cofidently say that our data is normal or not. just like a fix threshold value of p in analytical method.