If your data is "before and after" on the same subjects, a standard Chi-square is inappropriate. You should use McNemar’s test instead. Conclusion
Prism allows you to toggle this to prevent overestimation of statistical significance in 2x2 tables. Interpreting the "GraphPad Verified" Output chi square graphpad verified
: A p-value < 0.05 typically indicates a significant association or deviation from the expected model. Chi-square ( χ2chi squared ) statistic : The sum of across all cells. Degrees of Freedom (df) : Calculated as for contingency tables. If your data is "before and after" on
Example expected values for the above data: chi square graphpad verified