Statistical test design question I have condition as such mouse liver and spleen data. 
So in liver I have WT (Wild Type) and KO (knock out) as well as in spleen WT (Wild Type) and KO (knock out).

I have to compare the parasite load in WT and KO condition in both liver and spleen.

In terms of data points what I got is this:


10 mice for WT, 6 mice for KO in case of liver
10 mice for WT, 5 mice for KO in case of spleen.  

WT 20 8 21 9 22 10 23 11 24 
KO 12 25 26 27 28



So far what I know is I have to perform a parametric test.

But I'm not sure if I have to go for a paired t-test or an unpaired t-test.

Because here I'm comparing with between two groups, only so I don't have to go for anova if I'm not wrong. Secondly there is a difference in number of observation that is available for WT as compared to KO. So would that affect my choice of test as well.

Suggestion would be highly appreciated
So far what i know is i have to perform a parametric test .


How did you determine this?


  But im not sure if I have to go for a
  
  Paired t-test or Unpaired t-test


If you can't tell the difference between when to do a paired t-test and an unpaired one, you need to stop and talk to someone who can teach you basic statistics.  Throwing statistical tests at numbers when you don't understand them is a recipe for disaster.