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Statistics & Analysis

Your written Portfolio Project should meet the following requirements provide at least two paragraphs of detailed information about the project,

INSTRUCTIONS TO CANDIDATES
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Portfolio project requirements

Your written Portfolio Project should meet the following requirements:

 

  • Provide at least two paragraphs of detailed information about the project, the site, and the dataset used.

  • Provide the code with your modification comments.

  • Include screenshots from the execution.

  • Add code to generate SAS summary statistics

  • Add code to generate Hypotheses for a two-sample t test

  • Include screenshots from the output result.

  • Provide SAS code

  • You will produce a seven- to ten-page report documenting your actions on data, findings, and what you did to get this project completed.

 

You will get the SAS code examples at: https://github.com/HHS-AHRQ/MEPS/tree/master/SAS#sas-examples and the data files from the U.S. Department of Health & Human Services at: https://meps.ahrq.gov/mepsweb/data_stats/download_data_files.jsp

 

The SAS data file is h192.SSP

The Code file that needs to be modified to meet the above requirements is pasted below.

 

/*****************************************************************************/

/* Accessibility and quality of care, 2016

/*

/* Children with dental care

/*

/* Example SAS code to replicate number and percentage of children with dental

/*  care, by poverty status

/*

/* Input file: C:\MEPS\h192.ssp (2016 full-year consolidated)

/*****************************************************************************/

 

ods graphics off;

 

/* Load FYC file *************************************************************/

 

FILENAME h192 "C:\MEPS\h192.ssp";

proc xcopy in = h192 out = WORK IMPORT;

run;

 

/* Define variables **********************************************************/

/*  - For 1996-2007, AGELAST must be created from AGEyyX, AGE42X, AGE31X     */

/*  - For 1996, use 'POVCAT' instead of 'POVCAT96'                           */

 

data MEPS;

                SET h192;

 

 /* Children receiving dental care */

                child_2to17 = (1 < AGELAST & AGELAST < 18)*1;

                child_dental = ((DVTOT16 > 0) & (child_2to17 = 1))*1;

run;

 

proc format;

  value child_dental

                  1 = "One or more dental visits"

                  0 = "No dental visits in past year";

 

  value POVCAT

                  1 = "Negative or poor"

                  2 = "Near-poor"

                  3 = "Low income"

                  4 = "Middle income"

                  5 = "High income";

run;

 

/* Calculate estimates using survey procedures *******************************/

 

ods output CrossTabs = out;

proc surveyfreq data = MEPS missing;

                FORMAT child_dental child_dental. POVCAT16 POVCAT.;

                STRATA VARSTR;

                CLUSTER VARPSU;

                WEIGHT PERWT16F;

                TABLES child_2to17*POVCAT16*child_dental / row;

run;

 

proc print data = out noobs label;

                where child_2to17 = 1 and child_dental ne . and POVCAT16 ne .;

                var child_dental POVCAT16 WgtFreq StdDev RowPercent RowStdErr;

run;

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