Index
A
- absolute risk
- accounting for
- adjusted R squared
- affinity analysis
- alpha (level)
- alternate hypothesis
- analysis of variance (ANOVA)
- arithmetic mean. see mean
B
- Bayesian statistics
- bell-shaped
- beta
- bias
- binomial data
- Bonferroni correction
- bootstrapping
C
- categorical data
- causality
- central limit theorem
- central tendency
- Chi-squared (X2)
- distribution
- goodness of fit test
- test for homogeneity
- test for independence
- classification
- cluster analysis
- collinearity
- conditional probabilities
- confidence interval
- confidence-level
- confounding variable
- contingency tables
- controlling for
- correlation (coefficient)
- counting
- covariance
- credible interval
- cross validation
- crosstabs
D
- data mining
- data point
- data transformation
- data types
- de Moivre–Laplace Theorem
- decision tree
- degrees of freedom
- dummy variables
E
- effect size
- ensemble modeling
- excess-kutosis statistic
- expected (value)
F
- F
- false discovery rate
- false negative
- false positive
- F-distributions
- frequency
- F-test
G
- goodness of fit
I
- interaction terms (regression)
- interaction effects (ANOVA)
- interval data
J
- joint probabilities
K
- kurtosis statistic
L
- law of large numbers
- least-squares
- linear least-squares regression
- lurking variable
M
- magnitudes
- main effects (ANOVA)
- margin of error
- marginal probabilities
- mean
- measurement types
- median
- mode
- model training and evaluation
- multicollinearity
- multinomial data
- multiple least-squares linear regression
N
- neural network
- nominal data
- nonlinear
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