AP® Psychology
Statistics you must know
The exam gives you no formula sheet and no calculator. These are the statistics it asks you to work out by hand or read from a study, in our own words: what each means, when to use it, and the trap that costs points.
Three habits that save points
- Interpret, do not define. "The mean is the average" earns nothing; "the group that slept 8 hours recalled 5 more words on average" does.
- Name the direction. Say which group was higher, or whether r is positive or negative, and what that means for these participants.
- Correlation is not causation. Only an experiment with random assignment supports a cause-and-effect claim.
Central tendency
| Formula and a worked line | What it is and when to use it | The trap | Learn it in |
|---|---|---|---|
| The mean: the arithmetic average. Describing a typical score when there are no extreme scores. | One extreme score (an outlier) pulls the mean toward it; the median does not move much. | Research skills you need Descriptive StatisticsPractice it: Stats lab | |
| The median: half the scores are below it, half above. A typical score when the distribution is skewed (incomes, reaction times). | Put the scores in order first; with an even count, average the two middle scores. | Research skills you need Descriptive StatisticsPractice it: Stats lab | |
| The mode: the score that occurs most often. Categories (favorite color) or the peak of a distribution. | A distribution can have two modes (bimodal); the mode is a score, not how often it occurs. | Research skills you need Descriptive StatisticsPractice it: Stats lab |
Variation
| Formula and a worked line | What it is and when to use it | The trap | Learn it in |
|---|---|---|---|
| Worked: | The range: the distance from the lowest score to the highest. A quick sense of spread. | One outlier makes the range huge; it uses only two scores. | Research skills you need Descriptive StatisticsPractice it: Stats lab |
| The standard deviation: the typical distance of scores from the mean. Comparing how spread out two groups are; reading the normal curve. | A larger SD means more spread, not higher scores. The exam asks you to read and interpret it, not to compute it from a long list. | Research skills you need Descriptive StatisticsPractice it: Stats lab |
The normal curve and percentiles
| Formula and a worked line | What it is and when to use it | The trap | Learn it in |
|---|---|---|---|
| Worked: | A z score: how many standard deviations a score is from the mean. Comparing scores from different tests, or placing a score on the normal curve. | Below the mean, z is negative. Subtract the mean first, then divide by the SD. | Research skills you need The Normal Curve and PercentilesPractice it: Stats lab |
| The 68-95-99.7 rule for a normal distribution. The share of people between two scores, or above or below one. | Half of 68% (34%) lies on each side of the mean; the bands are 34, 13.5, 2.35 and 0.15 percent. | Research skills you need The Normal Curve and PercentilesPractice it: Stats lab | |
| A percentile rank: the percent of a group who scored lower. Interpreting a score: the 84th percentile beats 84% of the group. | A percentile is not a percent correct. One SD above the mean is about the 84th percentile (50 + 34). | Research skills you need The Normal Curve and PercentilesPractice it: Stats lab |
Correlation and inference
| Formula and a worked line | What it is and when to use it | The trap | Learn it in |
|---|---|---|---|
| Worked: | The correlation coefficient r: the direction (sign) and strength (closeness to 1 or -1) of a straight-line relationship. Describing a scatterplot or a correlational study. | Correlation is not causation: a third variable may explain both. A negative r is as strong as a positive one of the same size. | Research skills you need Correlation and ScatterplotsPractice it: Stats lab |
| Worked: | Statistical significance: a difference this large would rarely happen by chance alone if the variables were unrelated. Reading an experiment's results: is the difference between groups likely real? | Significant does not mean large or important; effect size says how big the difference is. | Research skills you need Statistical Significance and Effect SizePractice it: Stats lab, Article analysis studio |
Ideas to read off a study
- Skew. In a positively skewed distribution (a long tail to the right) the mean is pulled above the median; in a negatively skewed one, below it. Descriptive Statistics
- Scatterplots. Points rising left to right show a positive correlation; falling, a negative one; a round cloud, little or none. Correlation and Scatterplots
- Effect size. How large a difference or relationship is, separate from whether it is statistically significant. A big sample can make a tiny effect significant. Statistical Significance and Effect Size
- Read the graph first. On the article analysis question, the statistic part asks what a difference between groups means for these participants. Name the groups, the direction and what it shows. Statistical Significance and Effect Size
On exam day
- No calculator. The AP® Psychology exam allows no calculator. Every number it asks for (a mean, a median, a range, a share under the normal curve) can be worked out by hand.
- No formula sheet. Nothing on this page is printed in Bluebook: know what each statistic means and how to read it from a table or graph.
Practice with it
Free unit practice tests · Statistics flashcards · Research terms flashcards · Free notes for every topic · Full practice exams