diff --git a/STAT697-01_s19-team-3_data_analysis_by_MR.sas b/STAT697-01_s19-team-3_data_analysis_by_MR.sas
index 3e96130..5cc1735 100644
--- a/STAT697-01_s19-team-3_data_analysis_by_MR.sas
+++ b/STAT697-01_s19-team-3_data_analysis_by_MR.sas
@@ -9,9 +9,12 @@ X "cd ""%substr(%sysget(SAS_EXECFILEPATH),1,%eval(%length(%sysget(SAS_EXECFILEPA
 * load external file that will generate final analytic file;
 %include '.\STAT697-01_s19-team-3_data_preparation.sas';
 
+
+
 *******************************************************************************;
 * Research Question Analysis Starting Point;
 *******************************************************************************;
+
 title1 justify=left
 'Correlation analysis for Inequality_in_education and Multidimensional_Poverty_Index'
 ;
@@ -36,35 +39,43 @@ footnote4 justify=left
 'Limitations: Values denoted as ".." for the column "Inequality of Life Expectancy" should be excluded from analysis since it represents missing values.'
 ;
 
+
+
+data work1;
+set country_analytic_file_raw;
+	if Inequality_ineducation='..' then delete;
+	if Inequality_ineducation='.' then delete;
+	if Inequality_ineducation='' then delete;
+	Inequality_in_education1 = input(Inequality_in_education, 7.);
+run;
+
 proc corr 
-	    data=work
-		nosimple
+	    data=work1
     ;
-	var 
-        Inequality_in_education 
+		var 
+        Inequality_in_education1
         Multidimensional_Poverty_Index
     ;
 run;
 
+title;
+footnote;
 
-proc sgplot data=country_analytic_file_raw;
+proc sgplot data=work1;
     scatter
-        x=Inequality_in_education
+        x=Inequality_in_education1
         y=Multidimensional_Poverty_Index
     ;
 run;
 
+title;
+footnote;
+
 
 *******************************************************************************;
 * Research Question Analysis Starting Point;
 *******************************************************************************;
 
-
-Note: 
-
-Limitations: missing values need to be addressed for glm and general data analysis
-;
-
 title1 justify=left
 'Question: Is there a strong association between "Mean years of schooling" and the "Multidimensional Poverty Index" by gender?'
 ;
@@ -73,36 +84,85 @@ title2 justify=left
 'Rationale: This would show is their is an association between average years of schooling per country between genders and can potentially indicate gender disadvantages.'
 ;
 
+title3 justify=left
+'Rationale: This would show if their is an association between average years of schooling per country between genders and can potentially indicate gender disadvantages.'
+;
+
 footnote1 justify=left
+'Assuming a normal distribution there is a difference of 0.6486 in the gender means, where males have the higher mean.'
+;
+footnote2 justify=left
 'This compares the column "Mean years of schooling" from 2018 Statistical Annex Table 4 to the column "Multudimensional Poverty Index" from 2018 Statistical Annex Table 6.'
 ;
 
-title2 justify=left
-'Rationale: This would show is their is an association between average years of schooling per country between genders and can potentially indicate gender disadvantages.'
-;
 
-proc sql;
-   	select
-	 min(Mean_years_of_schooling_female) as min
-	,max(Mean_years_of_schooling_female) as max
-	,mean(Mean_years_of_schooling_female) as mean
-	,median(Mean_years_of_schooling_female) as median
-    from
-	country_analytic_file_raw
-   	;
-quit;
 
+data work; 
+    set country_analytic_file_raw;
+        Mean_years_of_schooling_female1 = input(Mean_years_of_schooling_female, best7.);
+        Mean_years_of_schooling_male1 = input(Mean_years_of_schooling_male, best7.);
+run;
+
+proc ttest;
+    paired Mean_years_of_schooling_male1*Mean_years_of_schooling_female1;
+run;
+
+title;
+footnote;
 proc sql;
    	select
-	 min(Mean_years_of_schooling_male) as min
-	,max(Mean_years_of_schooling_male) as max
-	,mean(Mean_years_of_schooling_male) as mean
-	,median(Mean_years_of_schooling_male) as median
+	 min(Mean_years_of_schooling_male1) as min
+	,max(Mean_years_of_schooling_male1) as max
+	,mean(Mean_years_of_schooling_male1) as mean
+	,median(Mean_years_of_schooling_male1) as median
     from
-	country_analytic_file_raw
+		work
    	;
 quit;
 
+proc ttest;
+    paired Mean_years_of_schooling_male1*Mean_years_of_schooling_female1;
+run;
+
+title;
+footnote;
+
+
+
+title1
+	'Comparing the summary statistics for females and males regarding Mean years of Schooling.'
+	;
+	
+
+	footnote1
+	'We can observe that the min, max, mean and median values for mean years of schooling per country are each higher for males than for females.'
+	;
+	
+
+	proc report data=work;
+	    column Mean_years_of_schooling_female1=minf 
+	           Mean_years_of_schooling_female1=maxf
+	           Mean_years_of_schooling_female1=avgf 
+	           Mean_years_of_schooling_female1=medf
+	           Mean_years_of_schooling_male1=minm 
+	           Mean_years_of_schooling_male1=maxm
+	           Mean_years_of_schooling_male1=avgm 
+	           Mean_years_of_schooling_male1=medm;
+	    define minf/min 'Female Min';
+	    define maxf/max 'Female Max';
+	    define avgf/mean 'Female Mean';
+	    define medf/median 'Female Median';
+	    define minm/min 'Male Min';
+	    define maxm/max 'Male Max';
+	    define avgm/mean 'Male Mean';
+	    define medm/median 'Male Median';
+	run;
+	
+
+	title;
+	footnote;
+
+
 *******************************************************************************;
 * Research Question Analysis Starting Point;
 *******************************************************************************;
@@ -127,12 +187,7 @@ footnote3 justify=left
 'There are 10 missing values in the column "Population living below national poverty line" that must be excluded from the analysis.'
 ;
 
-proc sgplot data=country_analytic_file_raw;
-    scatter
-        x=Population_living_below_national
-        y=HDI
-    ;
-run;
+
 
 proc corr 
 	data=country_analytic_file_raw
@@ -142,3 +197,12 @@ proc corr
         HDI
     ;
 run;
+proc sgplot data=country_analytic_file_raw;
+    scatter
+        x=Population_living_below_national
+        y=HDI
+    ;
+run;
+
+title;
+footnote;