To the hearer - statistics as a liberal discipline; prelude - making sense of data. Part I Producing data: where do data come from?; samples, good and bad; what do samples tell us?; sample surveys in the real world; experiments, good and bad; experiments in the real world; data ethics; measuring; do the numbers make sense? Review I - producing data. Part II Prescribing data: graphs, good and bad; displaying distributions with graphs; describing distributions with numbers; normal distributions; describing relationships - scatterplots and correlation; describing relationships - regression, prediction and government statistics. Review II - describing data. Part III Chance: thinking about chance; probability models; simulation; the house edge - expected values. Review III - chance. Part IV Inference: what is a confidence interval?; what is a test of significance?; use and abuse of statistical inference; two-way tables and the chi-square test; inference for a mean. Review IV - inference.