Presentation is nice. You are explaining KS test with categories but the methodology you used for continuous data. For grouped or categorical distribution we find the cummulative frequency not cummulative relative frequency.
You mentioned that the requirements for KS test is that the dataset should be continuous data. But The dataset in the example is discrete, not continuous.
Likert scales are always ordinal, but how you choose to look at the data, as well as your technique and preconceptions about the outcomes, are all factors. You may use it as an interval scale as well. However, because the scale is ordinal, the variable can be considered to be continuous or treated as such.
Presentation is nice. You are explaining KS test with categories but the methodology you used for continuous data. For grouped or categorical distribution we find the cummulative frequency not cummulative relative frequency.
Thanks, great video!
Glad you liked it!
thanks for this channel. i will watch many videos
You are most welcome
I really like your presentation, thank you very much.
You are welcome!
Valuable information sharing
So nice of you. Keep watching...
Nice way to explain
Thanks and welcome
Keep Learning....
Can you please do the Kuiper Test on this data? :)
Sure.
@@edifo thank you 🙏
thank's for this video. Please how to do if I use a questionnaire of more than 50 items and maybe each variable is explained by 5 items?
Follow the same method.
You mentioned that the requirements for KS test is that the dataset should be continuous data. But The dataset in the example is discrete, not continuous.
Likert scales are always ordinal, but how you choose to look at the data, as well as your technique and preconceptions about the outcomes, are all factors. You may use it as an interval scale as well. However, because the scale is ordinal, the variable can be considered to be continuous or treated as such.
@@edifo
Can the KS test be used to test whether a data set follows Benfords Law?