Statistics
AFRAID TO WALK AT NIGHT IN NEIGHBORHOOD
N
Valid
629
Missing
361
Mode
2
Frequency
Percent
Valid Percent
Valid
YES
205
20.7
32.6
NO
424
42.8
67.4
Total
629
63.5
100.0
Missing
IAP
360
36.4
DK
1
.1
Total
361
36.5
Total
990
100.0
Statistics
SUBJECTIVE CLASS IDENTIFICATION
N
Valid
985
Missing
5
Median
3.00
SUBJECTIVE CLASS IDENTIFICATION
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
LOWER CLASS
54
5.5
5.5
5.5
WORKING CLASS
402
40.6
40.8
46.3
MIDDLE CLASS
492
49.7
49.9
96.2
UPPER CLASS
37
3.7
3.8
100.0
Total
985
99.5
100.0
Missing
DK
2
.2
NA
3
.3
Total
5
.5
Total
990
100.0
FAVOR OR OPPOSE GUN PERMITS * RESPONDENTS SEX Cross tabulation
RESPONDENTS SEX
Total
MALE
FEMALE
FAVOR OR OPPOSE GUN PERMITS
FAVOR
Count
211
267
478
% within FAVOR OR OPPOSE GUN PERMITS
44.1%
55.9%
100.0%
% within RESPONDENTS SEX
70.8%
81.4%
76.4%
OPPOSE
Count
87
61
148
% within FAVOR OR OPPOSE GUN PERMITS
58.8%
41.2%
100.0%
% within RESPONDENTS SEX
29.2%
18.6%
23.6%
Total
Count
298
328
626
% within FAVOR OR OPPOSE GUN PERMITS
47.6%
52.4%
100.0%
% within RESPONDENTS SEX
100.0%
100.0%
100.0%
Symmetric Measures
Value
Approx. Sig.
Nominal by Nominal
Phi
-.125
.002
Cramer's V
.125
.002
N of Valid Cases
626
Chi-Squared Tests
Value df Asymp. Sig. (2-sided)
Pearson Chi-Square
9.713a
1
.002
Continuity Correctionb
9.135
1
.003
N of Valid Cases
626
a.0 cells (.0%) have expected count less than 5. The minimum expected count is 70.45.
b.computed only for a 2x2 table
• There is a relationship between favoring or opposing the requirement of gun permits and gender.
• Generally, women seem to favor the requirement of gun permits than men.
• Seventy one percent of men as opposed to eighty one percent of women agree that they favor the requirement of gun permits.
• This is was I had expected that women would favor the requirement of gun permits but most people believe that more men would favor the requirement of gun permits.
• There is a small negative relationship between being male and favoring requirement of having gun permits.
• The significance is 0.3%. There is a 0.3% chance of being wrong if I state that the relationship found in the sample is true for the whole United States population.
• My findings cannot be generalized for the whole population.
• Chi-square’s assumption of expected count being 5 or more was fulfilled therefore I can trust these results.
• A relationship was found in the sample, it agreed with what I stated would
