For larger tables (e.g., 2x3 or 3x3), the is the standard choice.
If expected frequencies are too low, GraphPad Prism automatically recommends Fisher’s exact test (for 2x2 tables) or will flag the issue for larger tables.
Before proceeding, ensure your dataset meets these foundational requirements:
Show the or Percentages on the Y-axis.
In the "Contingency Table Analysis" parameters dialog, pay attention to these settings:
The Chi-square test assumes every subject or observation is completely independent. If you are tracking the same subjects over multiple time points, a McNemar test or a repeated-measures design must be used instead. Entering Percentages: If you enter instead of the raw numbers (e.g., ), Prism will calculate the math based on a sample size of
For larger tables (e.g., 2x3 or 3x3), the is the standard choice.
If expected frequencies are too low, GraphPad Prism automatically recommends Fisher’s exact test (for 2x2 tables) or will flag the issue for larger tables.
Before proceeding, ensure your dataset meets these foundational requirements:
Show the or Percentages on the Y-axis.
In the "Contingency Table Analysis" parameters dialog, pay attention to these settings:
The Chi-square test assumes every subject or observation is completely independent. If you are tracking the same subjects over multiple time points, a McNemar test or a repeated-measures design must be used instead. Entering Percentages: If you enter instead of the raw numbers (e.g., ), Prism will calculate the math based on a sample size of
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