I couldn't get answer to this in other forums so posting here with hopes of help in computing statistical significance of my data. Suppose I have 2 baskets (B1 and B2) on a table each with mix of apple and oranges, and there are 10 such tables (T1 to T10. Now, I have computed the log-odd score of finding apples in B1 at all 10 tables:
2.95 5.56 6.025 7.225 7.37 7.39 7.54 7.54 6.82 7.295
To generate a control population I (randomly) shuffled fruits between B1 and B2 on every table, keeping the number of fruits in each basket same as above. And again computed log-odd score of finding apples in B1 at all 10 tables:
scores from shuffled control-1 0.81 1.25 0.695 0.725 -0.23 -0.25 -0.27 0.2 0.04 0.035 scores from shuffled control-2 -0.81 0.94 0.855 0.41 0.37 0.755 0.78 0.78 -0.075 0.59
and 3 more shuffled controls, so total 5 different controls with shuffled scores.
How can I compute p-values representing statistical significance of log-odd scores from real (B1) baskets against shuffled (control) baskets, for each table? Could you please suggest test or R-package for for this?