For Continuous Variable data Normal distribution is required. For Discrete Variable data other distributions are done. Also to study a specific trait or variable in a given population parametric tests are done. For parametric test checking Normality of the data is essential.
![Normality test [Simply Explained]](http://i.ytimg.com/vi/AVketBmpUTE/mqdefault.jpg)
Brovo. A quick explanation of the similarities and differences.
how much data is required for a large sample?
Can you make videos with examples for each test?
mam pls explain in jarque bera where u give the example of 2000 samples its difficult to understand
Excellent information but please can you speak slowly to be able to follow your explanation easily. Great Thanks.
% variation of normality from targeted normality?
Variation of normality from targeted srength
Why normality tests? Why dont we implement poissonity test? What makes normal distribution privileged among other distributions?
For Continuous Variable data Normal distribution is required. For Discrete Variable data other distributions are done. Also to study a specific trait or variable in a given population parametric tests are done. For parametric test checking Normality of the data is essential.
Are you teaching for ISS also??
Plz reply
Available at www.doorsteptutor.com/Exams/ISS/