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Data Set Description

I have a data set where students' spent time on study is available.

Data set

In this table, student 4 to student 10 seem to spend similar amount of time on study. There is very little variation.

My Question

Is there any statistical method by which I can say "Yes, student 4,5,6,7,8,9,10 spending time on study is similar".

Or

Is there any method by which I can say "Yes, student 4,5,6,7,8,9,10 spending time on study is not significantly different.".

How Did I Try?

I think methods like t-test, ANOVA, Kruskal can not be applied in this case. I was thinking about variance which can say about this. But I am really not sure. I have searched using different keywords in Google, but sorry to say, I did not find the answer.

kjetil b halvorsen
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Md. Sabbir Ahmed
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    k-means clustering is a method of vector quantization that aims to partition n observations into k clusters. Have you tried to cluster the vector of observation into 3 clusters using k-means? – Jesper for President May 11 '20 at 11:01
  • Thank you for your valuable suggestion. I forgot thinking about this method. I will study on this and will let you know. – Md. Sabbir Ahmed May 11 '20 at 11:05
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    @JesperforPresident: do you want to post your comment(s) as an answer? [Better to have a short answer than no answer at all.](https://stats.meta.stackexchange.com/a/5326/1352) Anyone who has a better answer can post it. You could also suggest one-dimensional clustering in general, [k-means is not always the best choice](https://stats.stackexchange.com/q/133656/1352). – Stephan Kolassa May 11 '20 at 11:22
  • No i do not, someone else can do it. Sorry do not have time. Otherwise i think it can be closed as duplicate since i guess some else has explained how clustering algorithms work. – Jesper for President May 11 '20 at 15:18
  • @JesperforPresident Thanks. Your suggestion solved my problem. – Md. Sabbir Ahmed Jun 07 '20 at 04:46
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    Cool, happy to hear, maybe you could then post your solution as an answer, with a small scale coding example if you have the time, then we can closte the question (site statistics you know). – Jesper for President Jun 07 '20 at 13:19

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