Overview (BAYES ONESAMPLE: Normal command)

BAYES ONESAMPLE: Normal invokes the one-sample inference procedure. The procedure provides options for making Bayesian inference on one-sample and two-sample paired t-test by characterizing posterior distributions. When you have normal data, you can use a normal prior to obtain a normal posterior.

Options

Missing values: You can specify the method in which to control missing values (exclude cases pairwise or listwise).
Analysis options: You can specify the significance level for computing credible intervals, the numerical method to estimate the integral, a random seed set for the MCA method, the tolerance value for numerical methods, the maximum number of iterations the AGL method can go through in its computations, and the number of samples used to draw the posterior distribution.
Bayesian analysis method: You can specify POSTERIOR, BAYESFACTOR, or BOTH.
Data variance: You can specify the data variance and set parameters for the estimation of Bayes factors.
Prior distribution settings: You can specify the prior distribution for the variance parameter.

Subcommand order

The subcommands can be named in any order.

Syntax rules

PRECDIST and VARDIST are mutually exclusive.
The /DATA sublist must be a subset of VARIABLES.

Limitations

PRECDIST and VARDIST are mutually exclusive.