From 0f63efb65102639598e465fd4c5d129263f1bb97 Mon Sep 17 00:00:00 2001 From: Mariano Resendiz Date: Sat, 2 Mar 2019 22:55:09 -0800 Subject: [PATCH 1/4] Update STAT697-01_s19-team-3_data_analysis_by_MR.sas --- STAT697-01_s19-team-3_data_analysis_by_MR.sas | 103 +++++++++++------- 1 file changed, 65 insertions(+), 38 deletions(-) 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 a5e9ec7..139c279 100644 --- a/STAT697-01_s19-team-3_data_analysis_by_MR.sas +++ b/STAT697-01_s19-team-3_data_analysis_by_MR.sas @@ -12,29 +12,36 @@ X "cd ""%substr(%sysget(SAS_EXECFILEPATH),1,%eval(%length(%sysget(SAS_EXECFILEPA *******************************************************************************; * Research Question Analysis Starting Point; *******************************************************************************; -* -Question: Is there evidence to indicate countries with a greater % of -"Inequality in Education" also experience greater poverty as measured by -the "Multidimensional Poverty Index"? +title1 justify=left +'Correlation analysis for Inequality_in_education and Multidimensional_Poverty_Index' +; -Rationale: This test would indicate an association between education and -poverty and if poverty can be an indicator of education. +title2 justify=left +'Rationale: This would indicate if there is an assocation between eduaction inequality and poverty, and if the former can be an indicator of poverty in a country.' +; -Note: This compares the column "Inequality of Education" from 2018 -Statistical Annex Table 3 to the column "Multidimensional Poverty Index" from -2018 Statistical Annex Table 6. +footnote1 justify=left +"Observation: There is a positive correlation between HDI and Population living below national poverty." +; -Limitations: Values denoted as ".." for the column "Inequality of Life -Expectancy" should be excluded from analysis since it represents missing values. +footnote2 justify=left +"Observation: Considering the correlation has a small R-squared value of 6.27 percent the absent values in our data and in subsequent data must be addressed." ; +footnote3 justify=left +'This compares the column "Inequality of Education" from 2018 +Statistical Annex Table 3 to the column "Multidimensional Poverty Index" from +2018 Statistical Annex Table 6.' +; -title3 justify=left -'Correlation analysis for Inequality_in_education and Multidimensional_Poverty_Index' +footnote4 justify=left +'Limitations: Values denoted as ".." for the column "Inequality of Life +Expectancy" should be excluded from analysis since it represents missing values.' ; proc corr - data=country_analytic_file_raw + data=work + nosimple ; var Inequality_in_education @@ -42,6 +49,7 @@ proc corr ; run; + proc sgplot data=country_analytic_file_raw; scatter x=Inequality_in_education @@ -53,20 +61,30 @@ run; *******************************************************************************; * Research Question Analysis Starting Point; *******************************************************************************; -* -Question: Is there a strong association between "Mean years of schooling" and -the "Multidimensional Poverty Index" by gender? -Rationale: This would show if there is an association between poverty levels -within a country and schooling between genders. -Note: 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. +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?' +; + +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.' +; + +footnote1 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 @@ -89,23 +107,39 @@ proc sql; country_analytic_file_raw ; quit; + *******************************************************************************; * Research Question Analysis Starting Point; *******************************************************************************; -* -Question: Can % of "Population living below the income poverty line" for -2006-2017 be used to predict the country's "Coefficient of human inequality"? -Rationale: This can help to see how poverty levels are associated with a -country's inequality. +title1 justify=left +"Plot illustrating the negative correlation between % Population living below the income poverty line for 2006-2017 and HDI?" +; + +title2 justify=left +"Rationale: This has the potential to show us how poverty levels are associated with a country's Human Development Index." +; -Note: This compares the column "Population_living_below_national_poverty_line" -from 2018 Statistical Annex Table 6 to the column "Coefficient of human -inequality" from 2018 Statistical Annex Table 3. +footnote1 justify=left +" There is a 68.5% negative correlation between HDI and Population living below national poverty." +; -Limitations: missing values need to be addressed for glm and general data analysis +footnote2 justify=left +'This compares the column "Population_living_below_national_poverty_line" from 2018 Statistical Annex Table 6 to the column "HDI" from 2018 Statistical Annex Table 3.' +; + +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 ; @@ -114,10 +148,3 @@ proc corr HDI ; run; - -proc sgplot data=country_analytic_file_raw; - scatter - x=Population_living_below_national - y=HDI - ; -run; From 7f3d50438291c6ed8a1a754e5a93f19fb84ff461 Mon Sep 17 00:00:00 2001 From: Mariano Resendiz Date: Sat, 2 Mar 2019 22:58:24 -0800 Subject: [PATCH 2/4] Create sashtml1.htm --- sashtml1.htm | 1817 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 1817 insertions(+) create mode 100644 sashtml1.htm diff --git a/sashtml1.htm b/sashtml1.htm new file mode 100644 index 0000000..1d2b0f8 --- /dev/null +++ b/sashtml1.htm @@ -0,0 +1,1817 @@ + + + + + +SAS Output + + + + + + + + +
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+The SGPlot Procedure +
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Question: Can % of Population living below the income poverty line for 2006-2017 be used to predict a country's HDI?
Rationale: This has the potential to show us how poverty levels are associated with a country's Human Development Index.

+
The CORR Procedure
+

+

+
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2 Variables:Population_living_below_national HDI
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Simple Statistics
VariableNMeanStd DevSumMinimumMaximumLabel
Population_living_below_national9533.6515818.1179931972.7000072.30000Population living below national poverty line
HDI1890.709260.15278134.050500.353930.95252HDI
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Pearson Correlation Coefficients
Prob > |r| under H0: Rho=0
Number of Observations
 Population_living_below_nationalHDI
+ + + + + + +
Population_living_below_national
Population living below national poverty line
+ + + + + + + + + +
1.00000
 
95
+ + + + + + + + + +
-0.68504
<.0001
95
+ + + + + + +
HDI
HDI
+ + + + + + + + + +
-0.68504
<.0001
95
+ + + + + + + + + +
1.00000
 
189
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There is a 68.5% negative correlation between HDI and Population living below national poverty.

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+ +
+
+The SGPlot Procedure +
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