{"id":13840,"date":"2018-04-28T05:00:23","date_gmt":"2018-04-28T05:00:23","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=13840"},"modified":"2021-12-05T22:34:21","modified_gmt":"2021-12-05T17:04:21","slug":"stat-descriptive-statistics","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/stat-descriptive-statistics\/","title":{"rendered":"4 SAS\/STAT Descriptive Statistics Procedure You Must Know"},"content":{"rendered":"

In our previous tutorial, we looked at\u00a0SAS\/STAT<\/strong>\u00a0cluster analysis<\/strong> and procedures, today we will be looking at what is SAS\/STAT descriptive statistics. Moreover, we will discuss how descriptive statistics is used in SAS\/STAT<\/strong> for representing a summary of the statistical procedures.<\/p>\n

Our focus here will be to understand different procedures as PROC STDRATE, PROC CORR, BOXPLOT, and PROC UNIVARIATE that can be used for SAS\/STAT descriptive statistics. We discuss these features with the help of examples. examples.<\/p>\n

So, let’s start with SAS\/STAT Descriptive Statistics.<\/p>\n

What is SAS\/STAT Descriptive Statistics?<\/h3>\n

SAS\/STAT Descriptive statistics\u00a0are brief\u00a0descriptive coefficients that summarize a given data set<\/strong><\/a>, which can be either a representation of the entire population or a sample of it.\u00a0Descriptive statistics in SAS\/STAT are broken down into measures of central tendency and measures of variability or spread.<\/p>\n

Measures of central tendency\u00a0and\u00a0measures of dispersion\u00a0are the two\u00a0types\u00a0of SAS\/STAT descriptive statistics. The\u00a0mean,\u00a0median, and\u00a0mode\u00a0are three\u00a0types\u00a0of measures of central tendency. The\u00a0range, variance, and\u00a0standard deviation\u00a0are the three\u00a0types\u00a0of measures of dispersion.<\/p>\n

\"SAS\/STAT<\/a>

Example of SAS\/STAT Descriptive statistics<\/p><\/div>\n

\"SAS\/STAT<\/a>

SAS\/STAT Descriptive Statistics<\/p><\/div>\n

Procedures for Descriptive Statistics in SAS\/STAT<\/h3>\n

Below listed procedures are used to perform SAS\/STAT descriptive statistics of a sample data. Each procedure has a different syntax and is used with different type of data in different contexts. Let us explore each one of these.<\/p>\n

a. PROC STDRATE<\/h4>\n

The STDRATE procedure computes directly standardized rates and risks for study populations. For two study populations with the same reference population, PROC STDRATE compares directly standardized rates or risks from these two populations.<\/p>\n

SAS PROC STDRATE provides summary statistics, such as rate and risk estimates and their confidence limits, in each stratum. In addition, PROC STDRATE also displays these stratum-specific statistics by using ODS Graphics.
\nPROC STDRATE Syntax-<\/strong><\/p>\n

PROC STDRATE < options > ;\r\n\u00a0POPULATION options ;\r\n\u00a0REFERENCE options ;<\/pre>\n
\u00a0<\/strong>
\nThe PROC STDRATE statement invokes the procedure, names the data sets, specifies the standardization method, and identifies the statistic for standardization.
\nThe required POPULATION statement specifies the rate or risk information in study populations, and the REFERENCE statement specifies the rate or risk information in the reference population.
\nPROC STDRATE Example-<\/strong><\/p>\n
DATA STROKE;\r\nINPUT EVENT_E COUNT_E EVENT_NE COUNT_NE;\r\nDATALINES;\r\n12 67 89 654\r\n;\r\n\u00a0PROC STDRATE DATA=STROKE\r\n\u00a0REFDATA=STROKE METHOD=INDIRECT(AF) STAT=RISK;\r\n\u00a0POPULATION EVENT=EVENT_E TOTAL=COUNT_E;\r\n\u00a0REFERENCE EVENT=EVENT_NE TOTAL=COUNT_NE;\r\n\u00a0RUN;<\/pre>\n
 <\/p>\n
\"SAS\/STAT<\/a>
PROC STDRATE – STAT\u00a0Descriptive Statistics<\/p><\/div>\n
\"SAS\/STAT<\/a>
PROC STDRATE – STAT\u00a0Descriptive Statistics<\/p><\/div>\n
\"SAS\/STAT<\/a>
PROC STDRATE – STAT\u00a0Descriptive Statistics<\/p><\/div>\n
b. BOXPLOT Procedure<\/h4>\n
A BOXPLOT in SAS creates side-by-side box-and-whiskers plots of measurements organized in groups. A box-and-whiskers plot displays the mean, quartiles, and minimum and maximum observations for a group.<\/p>\n
c. PROC CORR<\/h4>\n
The SAS PROC CORR procedure produces Pearson correlation coefficients of continuous numeric variables.<\/p>\n
d. PROC UNIVARIATE<\/h4>\n
With the use of SAS Histogram statement in PROC UNIVARIATE, we can have a fast and simple way to review the overall distribution of a quantitative variable in a graphical display.<\/p>\n
This was all\u00a0about SAS\/STAT descriptive Statistics Tutorial. Hope you like our explanation<\/b>.<\/p>\n
Conclusion<\/h3>\n
Hence, in this tutorial, we studied what is descriptive statistics in SAS\/STAT and the procedures offered by SAS\/STAT descriptive statistics: PROC STDRATE, PROC CORR, BOXPLOT, and PROC UNIVARIATE. We looked at each of them, their syntax, and how Descriptive Statistics can be used in SAS\/STAT.<\/p>\n
Hope you all enjoyed it. Stay tuned for more interesting topics in SAS\/STAT, and for any queries post your doubts in the comment section below.<\/p>\n","protected":false},"excerpt":{"rendered":"
In our previous tutorial, we looked at\u00a0SAS\/STAT\u00a0cluster analysis and procedures, today we will be looking at what is SAS\/STAT descriptive statistics. Moreover, we will discuss how descriptive statistics is used in SAS\/STAT for representing...<\/p>\n","protected":false},"author":6,"featured_media":13842,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56],"tags":[2171,10005,10116,10117,10118,10132,13755],"class_list":["post-13840","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sas-stat","tag-boxplot","tag-proc-corr","tag-proc-stdrate","tag-proc-stdrate-example","tag-proc-stdrate-syntax","tag-proc-univariate","tag-stat-descriptive-statistics"],"yoast_head":"\n4 SAS\/STAT Descriptive Statistics Procedure You Must Know - DataFlair<\/title>\n<meta name=\"description\" content=\"SAS\/STAT Descriptive Statistics tutorial-what is descriptive statistics in SAS\/STAT,procedure: PROC STDRATE,PROC CORR,BOXPLOT,PROC UNIVARIATe,syntax,Example\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/stat-descriptive-statistics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"4 SAS\/STAT Descriptive Statistics Procedure You Must Know - 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