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.
I really like your presentation, thank you very much.
You are welcome!
Thanks, great video!
Glad you liked it!
thanks for this channel. i will watch many videos
You are most welcome
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?
Nice way to explain
Thanks and welcome
Keep Learning....
Valuable information sharing
So nice of you. Keep watching...
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.