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

Central tendency

Formula and a worked lineWhat it is and when to use itThe trapLearn it in
x¯\bar{x}=sum of the scoresn= \frac{\text{sum of the scores}}{n}Worked: 4+6+7+7+115\frac{4 + 6 + 7 + 7 + 11}{5}=7= 7The 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
median\text{median}=the middle score in order= \text{the middle score in order}Worked: 2,3,5,8,20=52, 3, \mathbf{5}, 8, 20 = 5The 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
mode\text{mode}=the most frequent score= \text{the most frequent score}Worked: 3,4,4,4,6,9=43, 4, 4, 4, 6, 9 = 4The 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 lineWhat it is and when to use itThe trapLearn it in
range=highest−lowest\text{range} = \text{highest} - \text{lowest}Worked: 20−2=1820 - 2 = 18The 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
SD\text{SD}=sum of (x−x¯)2n= \sqrt{\frac{\text{sum of }(x - \bar{x})^2}{n}}Worked: 9+1+1+94\sqrt{\frac{9 + 1 + 1 + 9}{4}}=2.24= 2.24The 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 lineWhat it is and when to use itThe trapLearn it in
z=x−x¯SDz = \frac{x - \bar{x}}{\text{SD}}Worked: 130−10015=2\frac{130 - 100}{15} = 2A 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
68% within 1 SD,68\% \text{ within } 1\text{ SD},95% within 2,\; 95\% \text{ within } 2,99.7% within 3\; 99.7\% \text{ within } 3Worked: 34+34+13.5+13.534 + 34 + 13.5 + 13.5=95%= 95\,\%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
percentile rank\text{percentile rank}=percent of scores below= \text{percent of scores below}Worked: 50+34=8450 + 34 = 84A 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 lineWhat it is and when to use itThe trapLearn it in
−1≤r≤+1-1 \le r \le +1Worked: r for (1,2),(2,4),(3,6)r \text{ for } (1,2),(2,4),(3,6)=1= 1The 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
p<.05p < .05Worked: mean1−mean2\text{mean}_1 - \text{mean}_2=14−9= 14 - 9=5points= 5\,\text{points}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

On exam day

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