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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
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