# Statistical Analysis: Fisher exact test or chi-square test?

I am trying to do statistical analysis for a user survey. The total number of survey to be analysed is 59. The variables in the survey can be defined as a categorical variable. Some of the contingency tables for the survey looks as follows:

2   1
11  13
0   32

11  9   1
14  23  1

13  7
23  15


I am confused regarding whether to use fisher test or chi square test? As not all the tables are of 2*2 matrix, as well as some of the tables have expected values of less than 5. (The total number of responses vary in each table).

If I have to use fisher test, I use F-Test Two-Sample for Variances in excel. The solution by that method gives the following terms. What does these term mean?

F
P(F<=f) one-tail
F Critical one-tail


At last, when can I reject null hypothesis in excel.

• "If I have to use fisher test, I use F-Test Two-Sample for Variances in excel." -- I'm sorry, this makes no sense at all. Why would you do a two sample test for variances? You said you wanted to do a Fisher test (i.e. a Fisher exact test for contingency tables). They're not at all the same thing. – Glen_b Dec 20 '15 at 10:14
• There are several posts about Fisher vs $\chi^2$, such as this one. According to @FrankHarrell, the "$\geq 5$" requirement is a myth. There are other ones in the list of related posts at right of your post. – Stéphane Laurent Dec 20 '15 at 12:58