Two-proportion test for mutually exclusive groups

[kfwright23]

I am looking for code in order to do a simple a two-proportion test for mutually exclusive groups. To my knowledge, a chi-square test tells you me that the two categories are related (not indepedent) and does not provide what I desire.  I need to test whether the proportions of the groups are equal applying the the principles in this https://onlinecourses.science.psu.edu/stat414/node/268 or this online calculator http://www.socscistatistics.com/tests/ztest/Default2.aspx

Example question: Is the proportion of URM students who succeed (58.33%) different than the proportion of non-URM students who also succeed (77.06%).  

Table of URM by Success_category
URM	Success_category
Frequency(n) Percent Row Pct Col Pct	ABCs	DFWs	Total
0(non-URM)	84(n) 36.68 77.06% 54.55	25(n) 10.92 22.94 33.33	109 47.60
1(URM)	70(n) 30.57 58.33% 45.45	50(n) 21.83 41.67 66.67	120 52.40
Total	154(n) 67.25	75(n) 32.75	229 100.00

Statistics for Table of URM by Success_category

Statistic	DF	Value	Prob
Chi-Square	1	9.0987	0.0026
Likelihood Ratio Chi-Square	1	9.2409	0.0024
Continuity Adj. Chi-Square	1	8.2681	0.0040
Mantel-Haenszel Chi-Square	1	9.0589	0.0026
Phi Coefficient		0.1993
Contingency Coefficient		0.1955
Cramer's V		0.1993

[Reeza]

http://support.sas.com/kb/22/561.html

---

@kfwright23 wrote:

I am looking for code in order to do a simple a two-proportion test for mutually exclusive groups. To my knowledge, a chi-square test tells you me that the two categories are related (not indepedent) and does not provide what I desire.  I need to test whether the proportions of the groups are equal applying the the principles in this https://onlinecourses.science.psu.edu/stat414/node/268 or this online calculator http://www.socscistatistics.com/tests/ztest/Default2.aspx

Example question: Is the proportion of URM students who succeed (58.33%) different than the proportion of non-URM students who also succeed (77.06%).  

Table of URM by Success_category
URM	Success_category
Frequency(n) Percent Row Pct Col Pct	ABCs	DFWs	Total
0(non-URM)	84(n) 36.68 77.06% 54.55	25(n) 10.92 22.94 33.33	109 47.60
1(URM)	70(n) 30.57 58.33% 45.45	50(n) 21.83 41.67 66.67	120 52.40
Total	154(n) 67.25	75(n) 32.75	229 100.00

Statistics for Table of URM by Success_category

Statistic	DF	Value	Prob
Chi-Square	1	9.0987	0.0026
Likelihood Ratio Chi-Square	1	9.2409	0.0024
Continuity Adj. Chi-Square	1	8.2681	0.0040
Mantel-Haenszel Chi-Square	1	9.0589	0.0026
Phi Coefficient		0.1993
Contingency Coefficient		0.1955
Cramer's V		0.1993

---

[Reeza]

And the second link from Google with 'SAS Z test proportion' http://blogs.sas.com/content/iml/2017/07/05/test-equality-two-proportions-sas.html

[Ksharp]

http://blogs.sas.com/content/iml/2017/07/05/test-equality-two-proportions-sas.html