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. . . . . . additive model ANOVA binomial distribution bivariate data bivariate descriptive statistic boxplot categorical data analysis categorical variable census - measurement of every member of a population (cf. statistical inference) central limit theorem Chebychev rule coefficient of determination conditional probability confidence interval continuous data correlation correlation coefficient Data are numerical facts data set descriptive statistic descriptive tables discrete data discrete distribution distribution Empirical rule event expected counts experiment goodness of fit heuristic hypergeometric distribution hypothesis independence inference from sample inferential statistic interaction interval estimation Kruskal-Wallis test for k independent samples least squares line Mann-Whitney (Wilcoxon rank-sum) test for two independent samples mean model multivariate data negative binomial distribution nonparametric (distribution-free) inferences normal normal approximation to binomial distribution normal curve normal distribution numerical variable One-way ANOVA parameter - a numerical characteristic of a population. percentile point estimation poisson distribution population - the entire collection of individuals or measurements about which information is desired. population correlation coefficient probability p-value quantile plot random sample of size n - a subset of n of the elements from that population where the subset is chosen in such a way that every possible subset of size n has the same chance of being selected as any other. random variable relative frequency residual plots sample - a subset of the population selected for study. sample correlation coefficient sampling distribution sampling distribution of a statistic sampling scheme scatterplot sign test for paired data significance test simple linear regression statistic - a numerical characteristic of a sample. statistical inference - the population is sampled (in a manner to ensure that the sample correctly represents the population). Measurements are then taken on the sample from which parameters of the population are inferred (or generalized). statistics - the science of collecting, organizing, and interpreting numerical facts called data to answer real-world questions. testing a statistical hypothesis transformed statistics Two-way ANOVA two-way tables type I error type II error unbiased estimation univariate data univariate descriptive statistics variance Wilcoxon rank-sum (Mann-Whitney) test for two independent samples Wilcoxon signed-rank test for paired data Z curve Z-score Internet ReferencesRelated pages in this website |
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