Hello. Thanks for the video. If there is a large difference between the number of males and females, is this test still relevant? Say the number of males is around 25000 and females is only 250.
Sorry but non parametric refers to categorical data (nominal) but here u have parametric data which are numerical continuous. So why do u call them non parametric. They may be not normally distributed but are still quantitative continuous.
If your result undergoes type II error where null hypothesis is not rejected eventhough its to be rejected and alternate hypothesis is true, in this case increase the significance level
You made an earlier complicated concept became so simple. Thank you
Glad it was helpful and many thanks for your feedback! Regards Hannah
This is really helpful! Thank you for your explanation! I finally understand this point.
Hello. Thanks for the video.
If there is a large difference between the number of males and females, is this test still relevant? Say the number of males is around 25000 and females is only 250.
Wow! It was such a simplified explanation of a concept I was struggling to understand. Thank you.
Best video I found so far thank you for they break down, this video helped me understand these concepts so much more than I previously did.
so nice way of teaching mam . superrrrr..❤❤❤❤❤ mam what software do you use to present presentation ?
Thank you so much 🙂 It is just Power Point and davinci resolve for video editing. Regards Hannah
@@datatab thank you mam for replying 🌹❤🌹 it is super presentation. I like it so much ❤❤. ❤❤❤
Thank you, this is really helpful.
Thank you, this video is very helpful!
How do we proceed when we have triplicate data for each group? Should we take means before doing this test?
Sorry but non parametric refers to categorical data (nominal) but here u have parametric data which are numerical continuous. So why do u call them non parametric. They may be not normally distributed but are still quantitative continuous.
Thank you for your explanation, i am lost on U, what is this U?
Good understanding
How we will come to know that wether we have to apply independent t test or mans Witney u test?
Please have a look here: ruclips.net/video/welIUs2boQ8/видео.htmlsi=LOcGbAUOg0skUHDC
If the data (eg: heights, weights etc) is not normally distributed, then go with Mann Whitney U test
Very useful
thank you
Thank you❤
What to do if I wanna reject a null hypothesis here?
Yy
If your result undergoes type II error where null hypothesis is not rejected eventhough its to be rejected and alternate hypothesis is true, in this case increase the significance level
very nice
Are u german or Austrian? U very much sound like that
Austrian : )
first!!!!!!
+ youre my new crush
😉😘
: )