An information theory approach to hypothesis testing in criminological research

Crime Science

Table 1 Descriptive statistics for the variables at the census tract level

Variables	N per census tract		Mean	SD	Percent > 0
Variables	Min	Max
Business category
Drinking places	0	18	1.84	2.60	67.9
Grocery stores	0	7	1.42	1.47	67.4
Service stations	0	5	0.80	1.04	49.6
Amusement/recreation	0	9	0.67	1.14	42.4
Liquor stores	0	3	0.44	0.62	37.5
Drug stores	0	4	0.35	0.68	25.9
Crime type
Street robberies	0	34	8.67	8.07	88.8
Commercial robberies	0	36	5.43	4.72	90.2
Age and social disadvantage
Percent age 18–21	2	76	7.18	8.21	100
Percent age 22–29	5	43	12.54	6.22	100
Percent renter occupied	0	96.5	43.63	21.39	99.6
Percent below poverty	1.9	97.5	23.58	16.30	100

Units = 224 census tracts
The extreme maximum values for the two age groups are census tracts that include Marquette University and the University of Wisconsin, Milwaukee

ISSN: 2193-7680