{"id":13220,"date":"2018-04-12T05:48:02","date_gmt":"2018-04-12T05:48:02","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=13220"},"modified":"2021-12-03T10:36:04","modified_gmt":"2021-12-03T05:06:04","slug":"stat-features","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/stat-features\/","title":{"rendered":"16 Important SAS\/STAT Features You Must Know"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' data-iawmlf-post-links='[{&quot;id&quot;:1984,&quot;href&quot;:&quot;https:\\\/\\\/www.sas.com\\\/en_in\\\/software\\\/stat.html&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20250906173258\\\/https:\\\/\\\/www.sas.com\\\/en_in\\\/software\\\/stat.html&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-10 15:20:36&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2025-12-15 07:02:41&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2025-12-21 08:33:19&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2025-12-27 16:57:32&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2025-12-31 19:13:13&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-01-05 16:47:26&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-01-09 11:36:15&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-01-15 17:24:31&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-01-20 16:48:59&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-01-27 08:20:22&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-01-31 03:36:51&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-02-05 23:19:43&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-02-09 14:24:32&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-02-13 11:22:08&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-02-23 19:13:37&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-03-06 10:41:12&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-03-24 07:51:43&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-04-17 14:46:49&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-04-27 13:34:26&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-05-11 15:36:33&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-05-18 17:32:23&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-05-22 02:12:58&quot;,&quot;http_code&quot;:404}],&quot;broken&quot;:true,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-05-22 02:12:58&quot;,&quot;http_code&quot;:404},&quot;process&quot;:&quot;done&quot;}]'><\/div>\n<p>We learned\u00a0<a href=\"https:\/\/data-flair.training\/blogs\/stat-software\/\"><strong>SAS\/STAT Tutorial<\/strong><\/a>, by what kind of people it is used and the purpose it serves. Today we will be talking a bit more in detail about the different\u00a0 SAS\/STAT features and the variety of tasks that can be performed on it to make our life a little easy.<\/p>\n<p>So, let&#8217;s start with SAS\/STAT Features.<\/p>\n<div id=\"attachment_13225\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Features-of-SAS-STAT-software-01.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13225\" class=\"wp-image-13225 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Features-of-SAS-STAT-software-01.jpg\" alt=\"SAS\/STAT Features\" width=\"1200\" height=\"628\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Features-of-SAS-STAT-software-01.jpg 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Features-of-SAS-STAT-software-01-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Features-of-SAS-STAT-software-01-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Features-of-SAS-STAT-software-01-768x402.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/Features-of-SAS-STAT-software-01-1024x536.jpg 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-13225\" class=\"wp-caption-text\">16 Important SAS\/STAT Features You Must Know<\/p><\/div>\n<h3>SAS\/ STAT Features<\/h3>\n<p>These are the\u00a0important features of SAS\/STAT, let&#8217;s discuss them one by one:<\/p>\n<h4><strong>i. Analysis of Variance<\/strong><\/h4>\n<p>This allows a user to make linear models, compute variance on different measurements as well as multivariate analysis on different parameters.<\/p>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/sas-stat-anova\/\">Let&#8217;s discuss SAS\/STAT ANOVA (Analysis of Variance)<\/a><\/strong><\/p>\n<div id=\"attachment_13226\" style=\"width: 293px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-1.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13226\" class=\"wp-image-13226 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-1.png\" alt=\"SAS\/STAT Software Features\" width=\"283\" height=\"178\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-1.png 283w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-1-150x94.png 150w\" sizes=\"auto, (max-width: 283px) 100vw, 283px\" \/><\/a><p id=\"caption-attachment-13226\" class=\"wp-caption-text\">SAS\/STAT Features &#8211; ANOVA<\/p><\/div>\n<h4><strong>ii. Bayesian Analysis<\/strong><\/h4>\n<p>Built-in feature for <a href=\"https:\/\/data-flair.training\/blogs\/stat-bayesian-analysis\/\"><strong>Bayesian modeling<\/strong><\/a> and inference for generalized linear models, accelerated failure time model, Wide range of Bayesian models available.<\/p>\n<div id=\"attachment_13227\" style=\"width: 531px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-2.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13227\" class=\"wp-image-13227 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-2.png\" alt=\"SAS\/STAT Software Features\" width=\"521\" height=\"344\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-2.png 521w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-2-150x99.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-2-300x198.png 300w\" sizes=\"auto, (max-width: 521px) 100vw, 521px\" \/><\/a><p id=\"caption-attachment-13227\" class=\"wp-caption-text\">SAS\/STAT Features &#8211;\u00a0Bayesian Analysis<\/p><\/div>\n<h4><strong>iii. Descriptive Statistics<\/strong><\/h4>\n<p>SAS\/STAT offers box-and-whisker plots. One can Compute directly and indirectly standardized rates and risks for study populations.<\/p>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/stat-descriptive-statistics\/\">Follow this link to know about\u00a0SAS\/STAT Descriptive Statistics<\/a><\/strong><\/p>\n<h4><strong>iv. Discriminant Analysis<\/strong><\/h4>\n<p>Canonical discriminant analysis and Stepwise discriminant analysis can be performed.<\/p>\n<h4><strong>\u00a0v.\u00a0<\/strong><strong>Distribution Analysis<\/strong><\/h4>\n<p>Procedures allow Univariate and bivariate kernel density estimation.<\/p>\n<h4><strong>vi. High Performance<\/strong><\/h4>\n<p>The 14 SAS\/STAT procedures are multithreaded which means a lot of features are packed for use which increases the efficiency of a program.<\/p>\n<div id=\"attachment_13228\" style=\"width: 456px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-3.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13228\" class=\"wp-image-13228 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-3.png\" alt=\"SAS\/STAT Features - High-Performance\" width=\"446\" height=\"228\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-3.png 446w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-3-150x77.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-3-300x153.png 300w\" sizes=\"auto, (max-width: 446px) 100vw, 446px\" \/><\/a><p id=\"caption-attachment-13228\" class=\"wp-caption-text\">SAS\/STAT Features &#8211; High-Performance<\/p><\/div>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/stat-discriminant-analysis\/\">Follow this link to know about SAS\/STAT Discriminant Analysis<\/a><\/strong><\/p>\n<h4><strong>vii. Market Research<\/strong><\/h4>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/sas-market-research-procedure\/\">Market research<\/a><\/strong> plays an important role in any company. The <a href=\"https:\/\/www.sas.com\/en_in\/software\/stat.html\">SAS<\/a> STAT software provides choice models, as well as multidimensional scaling models to assess parameters.<\/p>\n<h4><strong>viii.\u00a0<\/strong><strong>Missing Data Analysis<\/strong><\/h4>\n<p>Multiple imputations, weighted generalized estimating equations, and imputation for survey data.<\/p>\n<h4><strong>ix.\u00a0<\/strong><strong>Mixed Models<\/strong><\/h4>\n<p>It packs Linear and nonlinear <strong><a href=\"https:\/\/data-flair.training\/blogs\/sas-mixed-model\/\">mixed models<\/a><\/strong>, generalized linear mixed models and Nested models.<\/p>\n<h4><strong>x. Multivariate Analysis<\/strong><\/h4>\n<p>Different analysis like exploratory and confirmatory factor analysis, principal components analysis, canonical correlation and partial canonical correlation.<\/p>\n<div id=\"attachment_13229\" style=\"width: 522px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-4.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13229\" class=\"wp-image-13229 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-4.jpg\" alt=\"SAS\/STAT Features - Multivariate Analysis\" width=\"512\" height=\"384\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-4.jpg 512w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-4-150x113.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-4-300x225.jpg 300w\" sizes=\"auto, (max-width: 512px) 100vw, 512px\" \/><\/a><p id=\"caption-attachment-13229\" class=\"wp-caption-text\">SAS\/STAT Features &#8211; Multivariate Analysis<\/p><\/div>\n<h4><strong>xi. Post Processing<\/strong><\/h4>\n<p>This comprises of <a href=\"https:\/\/data-flair.training\/blogs\/hypothesis-testing\/\"><strong>Hypothesis tests<\/strong><\/a> like t-tests, chi-square tests, and Prediction plots.<\/p>\n<h4><strong>xii. Predictive Modeling<\/strong><\/h4>\n<p>Predict and reveal insights from data like classification and regression trees, partitioning of data into training, validation and testing roles.<\/p>\n<div id=\"attachment_13230\" style=\"width: 295px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-5.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13230\" class=\"wp-image-13230 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-5.jpg\" alt=\"SAS\/STAT Features -\u00a0Predictive Modeling\" width=\"285\" height=\"177\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-5.jpg 285w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-5-150x93.jpg 150w\" sizes=\"auto, (max-width: 285px) 100vw, 285px\" \/><\/a><p id=\"caption-attachment-13230\" class=\"wp-caption-text\">SAS\/STAT Features &#8211;\u00a0Predictive Modeling<\/p><\/div>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/sas-predictive-modeling\/\">Read &#8211; SAS\/STAT\u00a0Predictive Modeling<\/a><\/strong><\/p>\n<h4><strong>xiii. Regression<\/strong><\/h4>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/sas-linear-regression\/\"><strong>Regression<\/strong><\/a> is an important feature of statistical analysis. SAS STAT offers least squares regression, principal components regression, quadratic response surface models and accurate estimation for ill-conditioned data.<\/p>\n<div id=\"attachment_13231\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-6.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13231\" class=\"wp-image-13231 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-6.png\" alt=\"SAS\/STAT Software Features\" width=\"1200\" height=\"794\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-6.png 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-6-150x99.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-6-300x199.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-6-768x508.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-6-1024x678.png 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-13231\" class=\"wp-caption-text\">SAS\/STAT Features &#8211;\u00a0Regression<\/p><\/div>\n<h4><strong>xiv. Standardization<\/strong><\/h4>\n<p>SAS STAT offers around 18 standardization methods and capabilities.<\/p>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/sas-books\/\">Do you Know Best SAS books to Learn SAS Programming \u2013 2018<\/a><\/strong><\/p>\n<h4><strong>xv. Statistical Graphics<\/strong><\/h4>\n<p>There are hundreds of statistical graphs available with analyses, customization is provided and Base SAS \u201cSG\u201d procedures create user-specified statistical graphics.<\/p>\n<div id=\"attachment_13233\" style=\"width: 650px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-7.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13233\" class=\"wp-image-13233 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-7.png\" alt=\"SAS\/STAT Software Features\" width=\"640\" height=\"480\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-7.png 640w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-7-150x113.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-7-300x225.png 300w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><p id=\"caption-attachment-13233\" class=\"wp-caption-text\">SAS\/STAT Features -Statistical Graphics<\/p><\/div>\n<p>&nbsp;<\/p>\n<div id=\"attachment_13234\" style=\"width: 485px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-8.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-13234\" class=\"wp-image-13234 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-8.png\" alt=\"SAS\/STAT Software Features\" width=\"475\" height=\"475\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-8.png 475w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-8-150x150.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-8-300x300.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/04\/feature-image-8-100x100.png 100w\" sizes=\"auto, (max-width: 475px) 100vw, 475px\" \/><\/a><p id=\"caption-attachment-13234\" class=\"wp-caption-text\">Features of SAS\/STAT-\u00a0Statistical Graphics<\/p><\/div>\n<h4><strong>xvi. Survey Sampling and Analysis<\/strong><\/h4>\n<p>This feature includes sample selection, descriptive statistics, linear and logistic regression, proportional hazards regression and missing value imputation.&#8217;<\/p>\n<p>So, this was all about SAS\/STAT Features Tutorial. Hope you like our explanation.<\/p>\n<h3>Conclusion<\/h3>\n<p>Hence, you all came to know a brief idea on different SAS\/STAT Features and the amazing things you can do with it. We will be looking at the advantages and limitations in the next lecture. So stay tuned.\u00a0Furthermore, if you have any query feel free to ask in a comment section.<\/p>\n<p>Related Topic &#8211;<strong><a href=\"https:\/\/data-flair.training\/blogs\/robust-regression-in-sas\/\">\u00a0Robust Regression in SAS\/STAT \u00a0<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We learned\u00a0SAS\/STAT Tutorial, by what kind of people it is used and the purpose it serves. Today we will be talking a bit more in detail about the different\u00a0 SAS\/STAT features and the variety&#46;&#46;&#46;<\/p>\n","protected":false},"author":6,"featured_media":13225,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56],"tags":[680,1673,3776,9915,12253,12268,12330,12341,12364,13794,13795,13800],"class_list":["post-13220","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sas-stat","tag-analysis-of-variance","tag-bayesian-analysis","tag-descriptive-statistics","tag-predictive-modeling","tag-sas-software-free-download","tag-sas-stat-procedures","tag-sasstat-9-4-users-guide","tag-sasstat-features","tag-sasstat-software-features","tag-statistical-analysis-in-sas","tag-statistical-analysis-software","tag-statistical-graphics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>16 Important SAS\/STAT Features You Must Know - 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