MTB > name c1 'prior_s'
MTB > rand 1000 'prior_s';
SUBC> normal 6.9 .4.
MTB > let 'prior_s'=exp('prior_s')
MTB > exec 'mod_cont'
MTB > ##################################################################
MTB > #  MACRO 'MOD_CONT'                                              #
MTB > # -------------------------------------------------------------- #
MTB > #  INFERENCE USING CONTINUOUS MODELS.                            #
MTB > #--------------------------------------------------------------- #
MTB > #  INPUT:  SIMULATED VALUES OF PRIOR IN 'PRIOR_S'                #
MTB > #  OUTPUT: SIMULATED VALUES FROM POSTERIOR IN 'POST_S'           #
MTB > ##################################################################
 
INPUT THE NUMBER OF THE LIKELIHOOD:
(1-Binomial P, 2-Normal M, 3-Poisson L, 4-Hypergeometric S,
 5-Discrete Uniform N, 6-Capture/Recapture N, 7-Exponential M)
DATA> 6

INPUT   
  (number of marked items, sample size, number marked in sample)   

DATA> 100 40 5
 
Input number of simulated values:
DATA> 1000
Executing from file: lk_cap_n.MTB

Each dot represents 5 points
                       .
                     . :
                  ::::.::
                 ::::::::..
                 :::::::::::
                .::::::::::: .
               .::::::::::::::.:
               :::::::::::::::::::. .
             ..::::::::::::::::::::.::::.....:  ..   .  .    .
         +---------+---------+---------+---------+---------+-------prior_s 
Each dot represents 7 points


                   ..  :
                  .::  :
                 :::::.:
                 :::::::: .
                 ::::::::::
                .::::::::::.
               .::::::::::::...
             . ::::::::::::::::.:........ .  .
         +---------+---------+---------+---------+---------+-------POST_S  
         0       700      1400      2100      2800      3500

MTB > describe 'prior_s' 'post_s'

Variable        N     Mean   Median   TrMean    StDev   SEMean
prior_s      1000   1056.5    973.9   1022.2    453.8     14.4
POST_S       1000   909.58   860.38   889.20   308.11     9.74

Variable      Min      Max       Q1       Q3
prior_s     281.2   3650.3    731.0   1271.1
POST_S     281.21  2516.90   681.46  1063.83