Please let me know of any errors or omissions!
Terms we hve not yet used are in green.
Histogram, stem-and-leaf plot, dot diagram, box plot, comparative box plots, scatter plot, scatter plot matrix, coded data, sample median, sample mean, sample variance, sample standard deviation, hinges, outliers, exploratory data analysis.
Time series plot, trend, seasonality, independence, autocorrelation, lag-1 scatterplot.
Binomial, normal, standard normal, exponential, chi-square, t, F. Know their properties, graphs, tables, and applications. Know the relationships between them.
Random variable, sample space, probability density function, probability mass function, cumulative distribution function, mean, variance, standard deviation, coefficient of variation, continuity correction, degrees of freedom, skewness.
Univariate, bivariate, multivariate, covariance, correlation, (Pearson's) correlation coefficient, independence, (co)variance matrix, correlation matrix.
Parameter, statistic, sampling distribution, central limit theorem, standard error, point estimate, unbiased estimate, pivotal quantity, confidence interval, test of hypothesis, (null) hypothesis, alternative (hypothesis), simple hypothesis, composite hypothesis, one-tailed test, two-tailed test, statistically significant, level of significance, alpha, beta, test statistic, reference distribution, critical value, rejection region, type I error, type II error, power, operating characteristic, P-value, robustness, homoscedastic, heteroscedastic.
Sign test.
One-way (one-factor) ANOVA, two-way (two-factor) ANOVA, grand mean, factor, main effect, interaction, sum of squares, mean square, F-ratio, degrees of freedom, residual, regression, simple linear regression, multiple regression, regression coefficients, regression line, intercept, slope, regression surface, conditional variance, pure error.
Completely randomized single-factor design, randomized complete block design, factorial experiments, 2k factorial design, blocking and confounding.