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
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.
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
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
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.
![Chi-Square Test [Simply explained]](/img/n.gif)
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Wonderful! Many many thanks for your nice feedback!!!! Regards Hannah
after several months of search for the best videos , finally i found ...thank you so much for such a wonderful videos..
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unbelievable, what kind of presentation this is
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THANK YOU SO MUCH. Your videos are very insightful and simplified to be understood
You're very welcome! Many thanks for your nice Feedback! Regards Hannah
You are one of the best teacher
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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
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.
Such a life saver explanation 😍❤
Thanks a lot.
Glad it was helpful and many thanks for the Feedback! Regards Hannah
Great explanation on Normal Distribution!
Wonderful teaching !
Many thanks!
youre better than my teacher omg thank you
Good work, clear explanation
Very nice explanation you have done with DATAtab. I need to know how it can be done in Excel sheet.
Thanks for your nice feedback! : )
Herzlichen Dank
Gerne : ) LG Hannah
thank you so much
You're welcome!
Good job
Many Thanks : ) Regards, Hannah
Thanx ❤
What are the two visual methods that the presenter mentions?
I love you guys ❤
Thanks, great job
You're welcome and thanks for the nice feedback! Regards, Hannah
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
Instead of obtained score can normal distribution test be applied on likert response?
We should do this for all kind of study like crosectional study?
What is the degree of freedom in Shapiro-Wilk test ?
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
What to do when normality test is positive for one parameter and negative for other parameter .
Then you look at the graphical solution and decide with best conscience. It is best if you also mention it in your research!
@@datatab thank you
Thank you so much😍
You're welcome 😊
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.
💙
Thanks : )
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.
What accent it is?
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