Post on 28-Mar-2018
II. Examine the computer printout below computed for a χ2 Test for Independence testing whether the type of sanction received by 20 property offenders is dependent on their gender. Crosstabs [DataSet0]
Case Processing Summary
20 100.0% 0 .0% 20 100.0%Type of Sanction* Gender
N Percent N Percent N PercentValid Missing Total
Cases
Type of Sanction * Gender Crosstabulation
5 1 63.0 3.0 6.0
4 3 73.5 3.5 7.0
1 6 73.5 3.5 7.010 10 20
10.0 10.0 20.0
CountExpected CountCountExpected CountCountExpected CountCountExpected Count
Fine
Probation
Jail
Type ofSanction
Total
Female MaleGender
Total
Chi-Square Tests
6.381a 2 .0417.017 2 .030
5.942 1 .015
20
Pearson Chi-SquareLikelihood RatioLinear-by-LinearAssociationN of Valid Cases
Value dfAsymp. Sig.
(2-sided)
6 cells (100.0%) have expected count less than 5. Theminimum expected count is 3.00.
a.