Questions Details 
Category: Physiologic Trait
Question Name: Gender
Question: What Gender are you?
Type:ABCD Answers:XX (Female);XY (Male);X;XXX;XXXX;XXY
A person's gender affects them in many ways. Most directly, the sex hormones produced by each sex varies. There are many ways that sex hormones are known directly affect our physiology and psychology, we seek to discover additional, hidden mechanisms of action.

Answers: (203 answers total)
81.3% of responses ( 165/203 ) were: "XX (Female)"
0.5% of responses ( 1/203 ) were: "XXX"
18.2% of responses ( 37/203 ) were: "XY (Male)"


Tracked Possible Correlations: suggest a NEW correlation to track
  Correlation #8: ↔ 2: Dominant Hand
  Correlation #9: ↔ 3: Dominant Eye
  Correlation #74: ↔ 353: Blood Pressure
  Correlation #75: ↔ 263: Atherosclerosis
  Correlation #180: ↔ 324: Children, Current # of Born Children
  Correlation #181: ↔ 305: Twin
  Correlation #242: ↔ 244: Mosquito Attractiveness
  Correlation #260: ↔ 44: Thumb Crossing - Dominant Thumb
  Correlation #328: ↔ 331: Abuse - Sexual
  Correlation #330: ↔ 360: Abuse, Family - Physical
  Correlation #429: ↔ 388: Salary - Does gender affect salary?



Correlation of 1: Gender Vs. 2: Dominant Hand

202 Responses:
 Dominant Hand →
 
Gender ↓ 		LeftRightAmbidextrous
XX (Female)5.0%    67.8%    8.4%    
XY (Male)0.0%17.3%    1.0%    
X0.0%0.0%0.0%
XXX0.5%    0.0%0.0%
XXXX0.0%0.0%0.0%
XXY0.0%0.0%0.0%



Correlation of 1: Gender Vs. 3: Dominant Eye

195 Responses:
 Dominant Eye →
 
Gender ↓ 		LeftRightNeither/Indeterminate
XX (Female)18.5%    31.3%    29.2%    
XY (Male)3.1%    10.8%    5.1%    
X0.0%0.0%0.0%
XXX0.5%    0.0%0.0%
XXXX0.0%0.0%0.0%
XXY0.0%0.0%0.0%



Correlation of 353: Blood Pressure Vs. 1: Gender

79 Responses:
 Gender →
 
Blood Pressure ↓ 		XX (Female)XY (Male)XXXXXXXXXXY
MUCH-HIGHER0.0%0.0%0.0%0.0%0.0%0.0%
HIGHER13.9%    6.3%    0.0%0.0%0.0%0.0%
AVG25.3%    16.5%    0.0%0.0%0.0%0.0%
LOWER25.3%    6.3%    0.0%0.0%0.0%0.0%
MUCH-LOWER2.5%    0.0%0.0%0.0%0.0%0.0%



Correlation of 263: Atherosclerosis Vs. 1: Gender

89 Responses:
 Gender →
 
Atherosclerosis ↓ 		XX (Female)XY (Male)XXXXXXXXXXY
YES2.2%    3.4%    0.0%0.0%0.0%0.0%
NO65.2%    24.7%    0.0%0.0%0.0%0.0%



Correlation of 324: Children, Current # of Born Children Vs. 1: Gender

132 Responses:
 Gender →
 
Children, Current # of Born Children ↓ 		XX (Female)XY (Male)XXXXXXXXXXY
024.2%    9.1%    0.0%0.0%0.0%0.0%
0.8%    0.0%0.0%0.0%0.0%0.0%
112.9%    4.5%    0.0%0.0%0.0%0.0%
225.8%    9.1%    0.0%0.0%0.0%0.0%
39.1%    0.8%    0.0%0.0%0.0%0.0%
43.0%    0.0%0.0%0.0%0.0%0.0%
60.8%    0.0%0.0%0.0%0.0%0.0%



Correlation of 1: Gender Vs. 305: Twin

87 Responses:
 Twin →
 
Gender ↓ 		NOYES, Non-Identical Fraternal (dizygotic)YES, Identical (monozygotic)
XX (Female)69.0%    2.3%    0.0%
XY (Male)28.7%    0.0%0.0%
X0.0%0.0%0.0%
XXX0.0%0.0%0.0%
XXXX0.0%0.0%0.0%
XXY0.0%0.0%0.0%



Correlation of 244: Mosquito Attractiveness Vs. 1: Gender

92 Responses:
 Gender →
 
Mosquito Attractiveness ↓ 		XX (Female)XY (Male)XXXXXXXXXXY
Bit less often than others16.3%    7.6%    0.0%0.0%0.0%0.0%
As Often29.3%    17.4%    0.0%0.0%0.0%0.0%
Bit More often than others26.1%    3.3%    0.0%0.0%0.0%0.0%



Correlation of 44: Thumb Crossing - Dominant Thumb Vs. 1: Gender

202 Responses:
 Gender →
 
Thumb Crossing - Dominant Thumb ↓ 		XX (Female)XY (Male)XXXXXXXXXXY
Left45.5%    10.4%    0.0%0.5%    0.0%0.0%
Right32.7%    7.9%    0.0%0.0%0.0%0.0%



Correlation of 331: Abuse - Sexual Vs. 1: Gender

81 Responses:
 Gender →
 
Abuse - Sexual ↓ 		XX (Female)XY (Male)XXXXXXXXXXY
YES18.5%    3.7%    0.0%0.0%0.0%0.0%
NO46.9%    27.2%    0.0%0.0%0.0%0.0%



Correlation of 360: Abuse, Family - Physical Vs. 1: Gender

77 Responses:
 Gender →
 
Abuse, Family - Physical ↓ 		XX (Female)XY (Male)XXXXXXXXXXY
NO, never48.1%    27.3%    0.0%0.0%0.0%0.0%
YES, a few times ever10.4%    1.3%    0.0%0.0%0.0%0.0%
YES, monthly0.0%1.3%    0.0%0.0%0.0%0.0%
YES, weekly3.9%    0.0%0.0%0.0%0.0%0.0%
YES, daily5.2%    0.0%0.0%0.0%0.0%0.0%



Correlation of 388: Salary Vs. 1: Gender
Does gender affect salary?

68 Responses:
 Gender →
 
Salary ↓ 		XX (Female)XY (Male)XXXXXXXXXXY
None, student or minor1.5%    0.0%0.0%0.0%0.0%0.0%
None, house wife/husband13.2%    1.5%    0.0%0.0%0.0%0.0%
None, unemployed8.8%    0.0%0.0%0.0%0.0%0.0%
Minimum Wage Part Time0.0%0.0%0.0%0.0%0.0%0.0%
Minimum Wage Full Time0.0%0.0%0.0%0.0%0.0%0.0%
Lower Middle Class Pay23.5%    16.2%    0.0%0.0%0.0%0.0%
Upper Middle Class Pay20.6%    11.8%    0.0%0.0%0.0%0.0%
Executive Pay0.0%0.0%0.0%0.0%0.0%0.0%
Celebrity Pay0.0%0.0%0.0%0.0%0.0%0.0%

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