hi sir, I was testing some financial data using Kruskal Wallis H Test. The test result says its significant but I am getting H statistic/ Chi sque value very very large compared with the others studies in the same field. Did i do something wrong, m i on right track. plz suggest me ???
kelvin mutum Did u check what type of data you have? Nominal, ordinal or ratio? If you have nominal data then go for nonparametric tests otherwise parametric.
@@sayyidamubeenam2151 please you can't suggest a non-parametric test when a test of normality hasn't been conducted to know if the data set is normally distributed or not. Parametric test are commonly used for analysis because it is robust to violations of homoscedasticity but when there is a strong departure from the above test, non-parametric is advised.
wait, your significance value for homogeneity of variance was more than 1. please forgive my ignorance, but is that even possible? thank you for your help - the video is much appreciated
Excellent instruction on a one-way ANOVA! Thank you for your clarity.
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Thank you, it was so helpful!
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Thank you man. It's well explained ! very useful
:D This was helpful.
Am I the only one who tried hard to listen him properly even with earphones?
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Thank you!
Very helpful😊
very great. our professor took three years to exlain this
hi sir,
I was testing some financial data using Kruskal Wallis H Test. The test result says its significant but I am getting H statistic/ Chi sque value very very large compared with the others studies in the same field. Did i do something wrong, m i on right track. plz suggest me ???
kelvin mutum
Did u check what type of data you have? Nominal, ordinal or ratio?
If you have nominal data then go for nonparametric tests otherwise parametric.
@@sayyidamubeenam2151 please you can't suggest a non-parametric test when a test of normality hasn't been conducted to know if the data set is normally distributed or not.
Parametric test are commonly used for analysis because it is robust to violations of homoscedasticity but when there is a strong departure from the above test, non-parametric is advised.
@@preciousdan4734 Hello, how can you use and interpret the Ad hoc and post hoc variables.
wait, your significance value for homogeneity of variance was more than 1. please forgive my ignorance, but is that even possible?
thank you for your help - the video is much appreciated
Thank you
can you speak a little louder
in the next video