Type in the following command:
tab race, sum(hours_v)
This generates the following table without including the missing values:
19 | Summary of 3d:hours worked average
:population | day
group | Mean Std. Dev. Freq.
------------+------------------------------------
01-afric | 7.2407407 3.807157 81
02-colou | 4.8333333 4.4072942 12
03-india | 9.2 .83666003 5
04-white | 5.828125 2.1227316 16
------------+------------------------------------
Total | 6.875 3.7024642 114
Now type in the following command to include the missing values:
tab race, sum(hours_v) missing
This generates the following table, which includes the missing values:
19 | Summary of 3d:hours worked average
:population | day
group | Mean Std. Dev. Freq.
------------+------------------------------------
01-afric | 7.2407407 3.807157 81
02-colou | 4.8333333 4.4072942 12
03-india | 9.2 .83666003 5
04-white | 5.828125 2.1227316 16
. | 6 2.8284271 2
------------+------------------------------------
Total | 6.8599138 3.6813704 116
Notice, when comparing the two tables, that the two missing values do alter the average mean value somewhat.