Table:
men
women

coefficient
standard error
coefficient
standard error

age group

35 to 44
-0.033
0.007
-0.028
0.010

45 to 54
-0.074
0.008
-0.069
0.012

marital status

single or never married
-0.003
0.009
-0.019
0.012

separated, divorced or widowed
-0.025
0.014
-0.021
0.016

number of children younger than 6

one
0.024
0.009
0.023
0.013

two
0.022
0.012
0.001
0.019

three or more
0.000
0.034
-0.114
0.053

visible minority status
-0.062
0.009
-0.025
0.014

aboriginal identity
-0.085
0.027
-0.045
0.036

immigrant status
0.016
0.010
0.019
0.015

highest certificate, diploma or degree

college, cegep or other non-university certificate or diploma or university certificate below a bachelor's degree
-0.177
0.007
-0.126
0.010

university degree above a bachelor's degree
0.031
0.009
0.046
0.013

location of study
0.106
0.010
0.140
0.014

stem field of study

physical and chemical sciences
-0.080
0.013
-0.101
0.018

biological, general and integrated sciences
-0.316
0.009
-0.315
0.011

mathematics and computer and information sciences
0.129
0.007
-0.037
0.013

area of residence

newfoundland and labrador
0.015
0.028
-0.097
0.032

prince edward island
-0.011
0.054
0.013
0.067

nova scotia
-0.059
0.019
-0.080
0.024

new brunswick
-0.007
0.021
-0.080
0.027

quebec
0.011
0.008
0.052
0.012

manitoba
0.040
0.019
0.050
0.027

saskatchewan
0.039
0.023
0.084
0.034

alberta
0.091
0.010
0.040
0.014

british columbia
0.017
0.010
0.002
0.014

territories
0.038
0.054
0.109
0.073

Statement: men who studied mathematics or computer and information sciences were more likely than men who studied engineering or engineering technology to be working in a stem occupation.
Question: who were more likely to be working in a stem occupation, men who studied mathematics or computer and information sciences or men who studied engineering or engineering technology?
Answer: mathematics and computer and information sciences