AP Biology Formula Sheet
The AP Biology Equations and Formulas sheet is provided on both sections of the exam, in Bluebook and in print, so you never have to memorize the formulas themselves. What you do have to know is which formula fits which prompt and how to read every symbol in it. This annotated reference groups the official equations by theme and, for each one, spells out what it is and when to reach for it. These are the standard AP Biology equations; always confirm the exact contents against the official College Board equations and formulas sheet before exam day, since College Board can revise it. The official PDF is on AP Central.
Key values on the sheet
Provided with the AP Biology equations and formulas sheet · confirm against the official sheet
Statistics and probability
Describing a data set and estimating how much a sample mean might vary: the center, the spread, and the uncertainty in the average.
Chi-square
Testing whether observed counts match what a hypothesis predicts: genetics crosses, ecology distributions, and any categorical data.
Hardy-Weinberg
Predicting allele and genotype frequencies in a population that is not evolving, and using the deviation from it as evidence that evolution is occurring.
Water potential
Predicting which way water moves across a membrane: into or out of a cell, up a plant, or across a dialysis bag. Water always moves toward lower water potential.
Free energy and pH
Deciding whether a reaction releases or requires energy, and quantifying acidity for enzyme and homeostasis questions.
Rates and population growth
Measuring how fast a quantity changes over time and modeling how populations grow with and without a resource ceiling.
Surface area and volume
Geometry formulas provided on the sheet, used mainly to reason about the surface-area-to-volume ratio and why cells stay small.
Don't just memorize. Diagnose.
Having the formula sheet in front of you is not the same as knowing when to use each formula. Most AP Biology points are lost to misconceptions: getting the sign of water potential backward, treating $q^2$ as the allele frequency instead of the genotype frequency, dividing chi-square by observed instead of expected, or confusing standard deviation with standard error. Mistake Master is built around fixing these specific failure modes.
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