Table 7.

Posterior probabilities^a of age groups across the latent clusters.

Age (years)	Cluster 1	Cluster 2	Cluster 3	Total probability
17-28	0.37	0.23	0.41	1
29-34	0.33	0.33	0.34	1
35-40	0.44	0.24	0.32	1
41-50	0.36	0.43	0.20	1
51-68	0.39	0.43	0.17	1

^aA posterior probability, in Bayesian statistics, is the revised or updated probability of an event occurring after considering new information. The posterior probability is calculated by updating the prior probability using the Bayes theorem. In statistical terms, the posterior probability is the probability of event A occurring, given that event B has occurred.