Difference between Parametric and Non Parametric Tests | Comparison | Statistics in Psychology
In Statistics, Parametric statistics are based on assumptions about the distribution of population whereas, Nonparametric tests are not based on assumptions.
Common parametric tests are, for example, the Student's t-tests. Common nonparametric tests are, for example, the Mann-Whitney-Wilcoxon test.
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Timecodes
0:00 - Intro
0:54 - Parametric Tests
1:36 - Non Parametric Tests
2:01 - Comparison between Parametric and Non Parametric Tests
3:43 - Statistical tests used for Parametric and Non Parametric
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Пікірлер: 23
It was so helpful thank you❤..and please will you make a video on correlation?
Wonderful concept data and explained
Great work Sir..
Short and informative ….👏
Very informative lecture sir 🥰
Thankyou so much sir 🙏👌
Excellent!
Very informative
Ye hain kya? Ek word smjh nhi aarha Koi practical example nhi h Ek line smjh nbi aaya
Thank u
Thank
Thanks 10000
Thank you so much for this playlist, it is helping me a lot at last moments before the exam. Really appreciate your work, may god bless you.
@PsychoTechInstitute
2 жыл бұрын
Thankyou
@raniali9085
Ай бұрын
How its help you
@raniali9085
Ай бұрын
How
Yeh answer likhskte in exam ???
Sir please example ke sath explain krenge to Jada achhe se smjh aaega
@PsychoTechInstitute
2 жыл бұрын
Kindly watch the full video, I have mentioned tests name in the last
🙏
Why do you write then explain in ur language 🙄
1.75x
Very informative lecture sir 🥰