AP Statistics Audio Lectures
AP Review Outline
by Arnold Kling

To listen to the lecture, click here.

The Four Questions

Why is this problem different from other problems?

  1. Data Description. You are given data to plot or given a plot of data to interpret.

  2. Experimental Design. You are asked to comment on a procedure for a study or asked to design a procedure for a study.

  3. Probability. You are asked to find the probability of an event occurring or the expected value of a random variable.

  4. Statistical Inference. You are asked to compute a confidence interval or to carry out a hypothesis test.

Data Description

Keywords: mean, median, mode, skewed, boxplot, modified boxplot, stemplot, dotplot, scatterplot, range, outlier, interquartile range (IQR), slope, intercept, predicted value, correlation, regression outlier, influential point, exponential regression, power regression.


Experimental Design

Keywords: observational study, experiment, random sample, stratified random sample, voluntary response sample, convenience sample, block design, blind, double-blind, placebo effect, lurking variable, confounding effect, causality, simulation.



Keywords: conditional probability, Venn diagram, tree diagram, independent, probability of success (failure), sample space, expected value, random variable, normal random variable, binomial random variable, geometric random variable.


Statistical Inference

Keywords: parameter, statistic, central limit theorem, bias, sampling variability, confidence interval, null hypothesis, alternative hypothesis, two-sided alternative, type I error, type II error, significance level, p-value, critical value, power, t-test, matched-pair t-test, two-sample t-test, one-proportion z-test, two-proportion z-test, chi-square, goodness of fit, test for independence, regression equation, R-square, residual, standard error of slope, t-statistic for slope, p-value for slope, power regression, exponential regression