STEM statistics

1. Women in engineering…STEM UPDATE

3. 0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
Female and Male Enrollments in Bachelor Programs
Female Male

4. 0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
500,000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011
Engineering Program Enrollments
Female Male

5. 0.00
10,000.00
20,000.00
30,000.00
40,000.00
50,000.00
60,000.00
70,000.00
80,000.00
2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
BS Engineering Graduates
Female Male

6. F-Test Two-Sample for Variances for Female/Male Engineering Enrollments
Female Male
Mean 77540.9 357088.4
Variance 34636651.66 330967692.5
Observations 10 10
df 9 9
F 0.104652667
P(F<=f) one-tail 0.001239377
F Critical one-tail 0.314574906
F-Test Two-Sample for Variances for Females/Male Engineering Graduates
Female Male
Mean 13214.1 55259.2
Variance 365124.5444 22255400.18
Observations 10 10
df 9 9
F 0.01640611
P(F<=f) one-tail 5.45187E-07
F Critical one-tail 0.314574906

7.  The P test and the F test fail meaning the means are significantly different for the
Females entering four year programs with the intent to complete engineering as
Males. The difference follows to the number of women that actually graduate in an
engineering field.

8. Male GraduatesFemale GraduatesMale EnrollmentsFemale Enrollments
6000000
5000000
4000000
3000000
2000000
1000000
0
Data
Boxplot of Female Enrol, Male Enrollm, ...

9. R² = 0.5911
0
50
100
150
200
250
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Women Employed as Engineers

10. R² = 0.42
1,500
1,550
1,600
1,650
1,700
1,750
1,800
1,850
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Men Employed as Engineers

12.  Women are still paid 20 to 50% less than men in STEM positions.
 Women are still considered primary caretakers at home. 67% of women in STEM that
stay do not have children at home (Strasser, 2014).
 Leadership in STEM companies still believe women will never be as capable as men
in the same position (Strasser, 2014).
 Bias still persistent at the undergraduate level. Professors do not think women are
capable of sustaining a STEM career (Chang, 2014).

13.  Women are more likely to finish an engineering program than the number of men that
enroll.
 This means its not a math or science ability issue
 Its interest or perspective future
 If we paid women equally as men for the same output then more women might stay in
the career field.
 The harsh engineering and science environment is degrading to both men and women
in the career field.

14. Chang, K. (2014). New York Times. Retrieved from
http://www.nytimes.com/2012/09/25/science/bias-persists-against-
women-of-science-a-study-
says.html?_r=0&adxnnl=1&adxnnlx=1421596975-
/zcIYxdjaWvBJmzvUhtpqw
National Science Foundation. (2014). National Science Foundation.
Retrieved from
http://www.nsf.gov/statistics/wmpd/2013/minwomen.cfm
Society of Women Engineers. (2014). Retrieved from
http://www.nxtbook.com/nxtbooks/swe/nationalsurveyengineering/
index.php?startid=20&qs=retention+study#/24
Strasser, A. R. (2014). Think Progress. Retrieved from
http://thinkprogress.org/economy/2014/02/13/3287861/women-
leaving-stem-jobs/
US Department of Education. (2014). Retrieved from STEM:
http://www.ed.gov/stem
US Department of Labor. (2014). Retrieved from http://www.dol.gov/