population
sample
sampling error
reliability
sample size
experiment
independent variable
confound
control
experimental condition
control condition
dependent variable
random selection
random assignment
parameter
statistic
descriptive statistic
estimator
inferential statistic
histogram
discrete variable
continuous variable
nominal scale
ordinal scale
interval scale
ratio scale
frequency
mean
median
mode
range
variance
standard deviation
quantile
quartile - 1st and 3rd
percentile
cumulative distribution
skew
outlier
normal distribution
symmetric distribution
unimodal
multimodal
tail
raw score
z-score
standardized distribution
probability distribution
expected value
biased and unbiased estimator
replication
sampling distribution
central limit theorem
standard error
law of large numbers
hypothesis testing
null hypothesis
alternative hypothesis
type I error
alpha level
type II error
power
test statistic
critical region
critical value
one-tailed test
two-tailed test
p-value
binary data
binomial distribution
binomial test
t statistic
t distribution
degrees of freedom
one-sample t-test
independent-samples t-test
homogeneity of variance
paired-samples t-test
between-subjects design
difference score
individual differences
effect size
confidence interval
Cohen's d
scatterplot
Pearson correlation
independence
linear relationship
regression equation
intercept
regression coefficient
sum of squares
explained variability
residual variability
F statistic
analysis of variance (ANOVA)
grand mean
repeated-measures ANOVA
factorial ANOVA
factor
main effect
interaction
goodness of fit
multinomial test
observed frequency
expected frequency
marginal frequency
chi-square statistic
parametric statistics
nonparametric statistics
Spearman correlation
Mann-Whitney test
Wilcoxon test
Kruskal-Wallis test
Friedman test