If you want to comapre old versus young with regard to ordinal data (like 2-4-

6-8 hours), then use the Mann-Whitney U test.

If you want to compare old versus young with regard to categorical variables,

like that with yes/no/sometimes, then use Chi². If you assume that no-sometimes-yes

(coded e.g. 1-2-3) is ordinal, then you can use U-test here also.

If you want to know whether 2 ordinal variables here are correlated, then

you could use the Spearman correlation coefficient rho.

I addition, I can't see where to use an ANOVA here.

With kind regards

K.

First of all, thanks a lot for guiding. I have been freaking out since my deadlines are approaching.

Few more questions.

I have 2 independent variables.

1. How much time one spend on gaming (less than hour, 1-4 hours, 4-6 hours, more than that)

2. Age group (younger than 25, 25-35, older than 35)

There are certain group of questions which i want to test against age group and certain groups of question which I want to test against hours. As I mentioned in my previous example, do i have to apply chi2 on each question w.r.t to the independent variable ? i.e., as per my previous example I have 2 questions which are related to no. of hours someone would spend on games. So would i be doing Chi2 on each question w.r.t hours spent ?

**Q: ** I mean i have aound 25 question, so would i be doing Chi2 for each question and writing in survey ?

I just googled and found this article (I am using SPSS) ... I believe this is what I am looking for ...

https://statistics.laerd.com/spss-t...est-for-association-using-spss-statistics.php
A stupid question, is there a way I can use ANOVA ?