STATISTICAL JARGON YOU SHOULD KNOW...

Please let me know of any errors or omissions!

Terms we never got around to using are in green; they are still on the course and some day you will need to know them but they aren't required for the exam.

Updated 1999-12-05

DESCRIPTIVE STATISTICS

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

Time series plot, trend, seasonality, independence, autocorrelation, lag-1 scatterplot.

DISTRIBUTIONS

Binomial, normal, standard normal, exponential, chi-square, t, F. Know their properties, graphs, tables, and applications. Know the relationships between them.

Sample space, probability density function, probability mass function, cumulative distribution function, mean, variance, standard deviation, coefficient of variation, continuity correction, degrees of freedom, skewness.

CORRELATION

Univariate, bivariate, multivariate, covariance, correlation, (Pearson's) correlation coefficient, independence, (co)variance matrix, correlation matrix.

INFERENCE

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.

NONPARAMETRIC METHODS

Sign test.

ANOVA AND REGRESSION

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.

EXPERIMENTAL DESIGN

Completely randomized single-factor design, randomized complete block design, factorial experiments, 2k factorial design, blocking and confounding.


Statistics 3N03