Category
page 1Normal distribution
normal distribution
probability distribution
Maxwell–Boltzmann distribution
specific probability distribution function, important in physics
Student's t-distribution
probability distribution
chi-squared distribution
continuous probability distribution
log-normal distribution
probability distribution
multivariate normal distribution
generalization of the one-dimensional normal distribution to higher dimensions

Z-test
thumb|
A '''Z-test' is any statistical test for which the distribution of the test statistic under the null hypothesis can be approximated by a normal distribution. Z-test tests the mean of a distribution. For each significance level in the confidence interval, the Z''-test has a single critical value (for example, 1.96 for 5% two-tailed), which makes it more convenient than the Student's t-test whose critical values are defined by the sample size (through the corresponding degrees of freedom). Both the Z-test and Student's t-test have similarities in that they both help determine the signifi
68–95–99.7 rule
shorthand used in statistics
bean machine
device invented to demonstrate the central limit theorem
Gaussian process
stochastic process such that every finite collection of random variables has a multivariate normal distribution
Gaussian noise
type of noise in signal processing
probit
thumbnail|right|Plot of probit function
Chi distribution
probability distribution
Erdős–Kac theorem
theorem
Standard normal table
Mathematical table for the values of Φ, which are the values of the cumulative distribution function of the normal distribution
normal probability plot
graphical technique in statistics
Generalized normal distribution
certain families of parametric continuous probability distributions
Slash distribution
concept in probability theory
skew normal distribution
continuous probability distribution
Half-normal distribution
probability distribution