

{"id":16444,"date":"2018-05-24T07:30:30","date_gmt":"2018-05-24T07:30:30","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=16444"},"modified":"2021-12-05T21:50:13","modified_gmt":"2021-12-05T16:20:13","slug":"stat-logical-interview-questions","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/stat-logical-interview-questions\/","title":{"rendered":"30 Latest SAS-STAT Logical Interview Questions and Answers"},"content":{"rendered":"<h3 align=\"justify\">SAS-STAT Logical Interview Questions<\/h3>\n<p align=\"justify\">In our previous SAS-STAT tutorial, we discussed <a href=\"https:\/\/data-flair.training\/blogs\/stat-interview-questions\/\"><strong>Top 30 SAS-STAT Interview Questions<\/strong><\/a>. In this article, we provide 30 latest SAS-STAT Logical Interview Questions. These logical questions are asked in SAS interviews.<\/p>\n<p align=\"justify\">So, Let&#8217;s start 30 Tricky SAS-STAT Logical Interview Questions.<\/p>\n<h3>Top Latest SAS-STAT Logical Interview Questions<\/h3>\n<p>After, discussing SAS-STAT Interview Question first part, we are ready to face this SAS-STAT Logical Interview Questions and Answers.<\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q1. Explain the statements used in the below example.<\/b><\/span><\/p>\n<pre class=\"EnlighterJSRAW\">proc glimmix data=sashelp.iris;\r\nclass species;\r\nmodel age=weight;\r\nrandom age=weight;\r\nrun;<\/pre>\n<p align=\"justify\"><span style=\"font-size: medium\">The\u00a0CLASS statement instructs the technique to treat the variables species as type variables. The version announcement in the example shown above specifies the reaction variable as a pattern proportion by means of the use of the occasions\/trials approach.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">the solution option inside the version declaration requests a listing of the answers for the constant-consequences parameter estimates.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The RANDOM statement specifies that a random intercept is drawn one at a time and independently for each center in the take a look at.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q2. What is the PROC MIXED procedure in SAS STAT used for?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The PROC blended system in SAS\/STAT fits specific blended models. mixed version have the capability to allow for one of a kind assets of variation in information, it lets in for one of a kind variances for corporations and takes into account correlation structure of repeated measurements.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q3. Write a sample program using PROC MIXED procedure including all the required statements?<\/b><\/span><\/p>\n<pre class=\"EnlighterJSRAW\">proc mixed data=SASHELP.IRIS plots=all;\r\nclass species;\r\nmodel petallength= \/;\r\nrun;\r\n<\/pre>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q4. What is the error in the example below?<\/b><\/span><\/p>\n<pre class=\"EnlighterJSRAW\">proc mixed data=SASHELP.IRIS plots=all;\r\nmodel petallength= \/;\r\nclass species;\r\nrun;<\/pre>\n<p>The MODEL statement must appear after the CLASS statement always.<\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q5. What is the difference between PROC HPMIXED and PROC NLMIXED?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">Through the PROC HPMIXED method, we can specify a linear combined version with variance factor structure, to estimate the covariance parameters via constrained maximum chance. <\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The PROC NLMIXED suits nonlinear blended models\u2014that is, models in which each fixed and random outcomes enter nonlinearly.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q6. What does the PARMS statement in PROC NLIMIXED procedure do?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The\u00a0PARMS statement in the NLMIXED procedure is used to identify the unknown parameters and their starting values.\u00a0<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q7. Explain the statements used in the example below.<\/b><\/span><\/p>\n<pre class=\"EnlighterJSRAW\">proc nlmixed data=CARS;\r\nparms b1=220 b2=500 b3=310 s2u=100 s2e=60;\r\nmodel X ~ normal(num\/den,s2e);\r\nrandom u1 ~ normal(0,s2u) subject=NUMBER;\r\nrun;<\/pre>\n<p align=\"justify\"><span style=\"font-size: medium\">The MIXED MODEL statement defines the dependent variable and its conditional distribution given the random effects. Here a normal (Gaussian) conditional distribution is specified.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The\u00a0RANDOM statement defines the single random effect to be\u00a0u1, and specifies that it follow a normal distribution with mean 0 and variance\u00a0s2u. The\u00a0SUBJECT=\u00a0statement in the\u00a0RANDOM\u00a0statement is used to define a variable which will indicate when the random effect obtains new realizations.\u00a0<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q8. What are the different procedures used for multivariate analysis in SAS STAT?<\/b><\/span><\/p>\n<div id=\"attachment_16458\" style=\"width: 1090px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Multivariate-Analysis.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16458\" class=\"wp-image-16458 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Multivariate-Analysis.png\" alt=\"SAS-STAT Logical Interview Questions - SAS\/STAT Multivariate Analysis\" width=\"1080\" height=\"1080\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Multivariate-Analysis.png 1080w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Multivariate-Analysis-150x150.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Multivariate-Analysis-300x300.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Multivariate-Analysis-768x768.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Multivariate-Analysis-1024x1024.png 1024w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Multivariate-Analysis-100x100.png 100w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/a><p id=\"caption-attachment-16458\" class=\"wp-caption-text\">SAS-STAT Logical Interview Questions &#8211; SAS\/STAT Multivariate Analysis<\/p><\/div>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q9. What is the difference between CANCORR and CORR procedures in SAS STAT?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">PROC CANCORR\u00a0in SAS\/STAT is used for canonical correlation of data.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The PROC CORR procedure produces Pearson correlation coefficients of continuous numeric variables.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q10. Explain the PROC PRINCOMP statement with syntax.<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">PRINCOMP stands for principal component analysis. The principal component analysis comes under SAS multivariate analysis and is a technique through which we examine relationships among several variables.\u00a0<\/span><\/p>\n<pre class=\"EnlighterJSRAW\">PROC PRINCOMP dataset &lt;OPTIONS&gt;;\r\nVAR variables;\r\n<\/pre>\n<p align=\"justify\"><strong>SAS-STAT Logical Interview Questions for Freshers. Q- 2,3,5,6,8,9<\/strong><\/p>\n<p align=\"justify\"><strong>SAS-STAT Logical Interview Questions for Experience. Q- 1,4,7,10<\/strong><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q11. What is the error in the example below?<\/b><\/span><\/p>\n<pre class=\"EnlighterJSRAW\">proc factor data=SASHELP.CLASS;\r\nvar name ;\r\nrun;<\/pre>\n<p align=\"justify\"><span style=\"font-size: medium\">In the PROC FACTOR procedure, the variables mentioned in the VAR statement should be numeric in nature.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q12. What are the two separate forms of input to the CORRESP procedure?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">There are two forms in which, one form is contained inside the TABLES statement and the other is contained inside the VAR statement. Each time you run PROC CORRESP, you must specify either the TABLES or the VAR statement, but not both.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">Specify the TABLES statement if you are using raw, categorical data, the levels of which define the rows and columns of a table.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">Specify the VAR statement if your data is already in tabular form.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q13.What is multidimensional scaling and how can we perform it in SAS STAT?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">It comes under the class of methods that help us find out the coordinates of a set of objects that are in space and have a specified dimensionality.\u00a0PROC MDS is used for this.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q14. What are the three methods provided by PROC PRINQUAL to perform market research?<\/b><\/span><\/p>\n<p><span style=\"font-size: medium\">These methods are:<\/span><\/p>\n<ul>\n<li><span style=\"font-size: medium\">Maximum total variance, or MTV<\/span><\/li>\n<li><span style=\"font-size: medium\">Minimum generalized variance, or MGV<\/span><\/li>\n<li><span style=\"font-size: medium\">Maximum average correlation, or MAC<\/span><\/li>\n<\/ul>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q15. What does the SOLVE option with TRANSREG procedure signify?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The\u00a0SOLVE algorithm option inside the TRANSREG procedure requests a direct solution for both the transformation and the parameter estimates. For many models, PROC TRANSREG with the SOLVE\u00a0option\u00a0can produce exact results without iteration.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q16. Explain the following example.<\/b><\/span><\/p>\n<pre class=\"EnlighterJSRAW\">proc nlin data=sashelp.cars method=gauss;\r\nparms hosepower=135\r\ncylinders=6;\r\nmodel mpg_highway = (horsepower\/cylinders);\r\nrun;\r\n<\/pre>\n<p align=\"justify\"><span style=\"font-size: medium\">The\u00a0METHOD=option directs PROC NLIN to use the GAUSS iterative method.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The\u00a0PARMS statement declares the parameters and specifies their initial values.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q17. Which procedure in SAS STAT use for structural equation modeling (SEM)?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">PROC CALIS in SAS\/STAT is used for structural equation modeling (SEM). It can perform an exploratory and confirmatory factor analysis of any order.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q18. Explain the significance of arrows in the PATH statement of PROC CALIS procedure.<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">In the PATH model specification, all the one-headed arrows in the path diagram are represented as path entries in the\u00a0PATH statement, with entries separated by commas. <\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">In each path entry, you specify a pair of variables and the direction of the path (either\u00a0&lt;===\u00a0or\u00a0===&gt;), followed by a path coefficient, which is either a fixed constant or a parameter with a name in the specification.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q19.What are the steps for multiple imputations?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">To perform multiple imputations, we need to follow some steps. These are-<\/span><\/p>\n<ul>\n<li>\n<p align=\"justify\"><span style=\"font-size: medium\">Generate imputed samples using PROC MI.<\/span><\/p>\n<\/li>\n<li>\n<p align=\"justify\"><span style=\"font-size: medium\">Estimate the parameters for each imputed sample by using some statistical procedure.<\/span><\/p>\n<\/li>\n<li>\n<p align=\"justify\"><span style=\"font-size: medium\">Combine the estimation from the imputed samples by using PROC MIANALYZE.<\/span><\/p>\n<\/li>\n<\/ul>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q20. How can we perform model selection in SAS STAT?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">There are two procedures in SAS STAT, PROC GLMSELECT and PROC QUANTSELECT for performing model selection.<\/span><\/p>\n<p align=\"justify\"><strong>SAS-STAT Logical Interview Questions for Freshers. Q- 12,14,17,18,21<\/strong><\/p>\n<p align=\"justify\"><strong>SAS-STAT Logical Interview Questions for Experience. Q- 11,13,15,16,19,20<\/strong><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q21. What is a robust regression in SAS STAT?<\/b><\/span><\/p>\n<p align=\"justify\"><em><span style=\"font-size: medium\">Robust regression technique in SAS\/STAT<\/span><\/em><span style=\"font-size: medium\"><i>\u00a0<\/i><\/span><span style=\"font-size: medium\">is a form of<\/span><span style=\"font-size: medium\"><i>\u00a0<\/i><strong><em>regression<\/em>\u00a0analysis technique<\/strong> that is basically designed to cater to and overcome limitations that arise from both parametric and non-parametric methods. It is similar to least squares regression, is a technique for those datasets in which the features exhibit a non-linear trajectory and the variables and the assumptions, form the basis of datasets are likely to change in future.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q22. What three different classes of problems does ROBUSTREG procedure cater to?<\/b><\/span><\/p>\n<p align=\"justify\">The robust regression techniques cater to three different classes of problem:<\/p>\n<ul>\n<li>Problem with outliners in the X space.<\/li>\n<li>Outliers in the Y direction.<\/li>\n<li>Outliners in both the Y direction and the X space.<\/li>\n<\/ul>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q23. What is the difference between KRIGE2D and SIM2D procedures in SAS STAT?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The krige2d procedure <\/span><span style=\"font-size: medium\">performs spatial prediction of any spatial point reference data. The basic function is kriging whereas sim2d procedure <\/span><span style=\"font-size: medium\">also produces a spatial simulation but for a Gaussian field.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q24. How can continuous variables include in the SPP procedure?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">In a spatial analysis, CONTINUOUS variables term field variables and are associated with a spatial trend. They include in the SPP procedure by using the\u00a0TREND statement.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q25.What are the required statements in a PROC VARIOGRAM procedure?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"color: #333333\">\u00a0<\/span><span style=\"font-size: medium\">The\u00a0PROC VARIOGRAM, COMPUTE, and COORDINATE statements require.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q26. What are the features offered by PROC IRT procedure?<\/b><\/span><\/p>\n<ul>\n<li>\n<p align=\"justify\"><span style=\"font-size: medium\">Enables different items to have different response models<\/span><\/p>\n<\/li>\n<li>\n<p align=\"justify\"><span style=\"font-size: medium\">Performs multiple-group analysis, <\/span><\/p>\n<\/li>\n<li>\n<p align=\"justify\"><span style=\"font-size: medium\">Performs analysis such as exploratory and multidimensional<\/span><\/p>\n<\/li>\n<li>\n<p align=\"justify\"><span style=\"font-size: medium\">Uses the method of maximum likelihood to estimate factor scores<\/span><\/p>\n<\/li>\n<\/ul>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q27. What is<\/b><\/span><b><span style=\"font-size: medium\"> psychometric analysis?<\/span><\/b><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">A psychometric analysis<\/span><span style=\"font-size: medium\">\u00a0is one of the many analysis procedures in which the tests are psychological in nature as well as measurements to ensure that the obtained values are trusted and valid.\u00a0<\/span><span style=\"font-size: medium\">A psychometric analysis <\/span><span style=\"font-size: medium\">is performed through using instruments that are used to measure attitudes, human behavior, abilities, or personality traits in order to improve these traits or to make sure that the results being delivered are true.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q28. What are the different procedures used for Survival analysis in SAS STAT<\/b><\/span><b><span style=\"font-size: medium\">?<\/span><\/b><\/p>\n<div id=\"attachment_16457\" style=\"width: 1210px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Survival-Analysis.png\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-16457\" class=\"wp-image-16457 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Survival-Analysis.png\" alt=\"SAS-STAT Logical Interview Questions\" width=\"1200\" height=\"628\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Survival-Analysis.png 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Survival-Analysis-150x79.png 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Survival-Analysis-300x157.png 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Survival-Analysis-768x402.png 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/05\/SAS-STAT-Survival-Analysis-1024x536.png 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><p id=\"caption-attachment-16457\" class=\"wp-caption-text\">SAS-STAT Logical Interview Questions<\/p><\/div>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q29. What does the QUANTILE= option in QUANTREG procedure do?<\/b><\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\">The QUANTILE=option in the QUANTREG procedure used to request an estimate of the quantile process for each regression parameter after which it displays plots for each quantile.<\/span><\/p>\n<p align=\"justify\"><span style=\"font-size: medium\"><b>Q30.\u00a0<\/b><\/span><b><span style=\"color: #333333\"><span style=\"font-size: medium\">What is the syntax for QUANTLIFE procedure?<\/span><\/span><\/b><\/p>\n<pre class=\"EnlighterJSRAW\">PROC QUANTLIFE DATASET &lt;options&gt;;\r\nCLASS &lt;variables&gt;;\r\nMODEL response\u00a0=\u00a0&lt;effects&gt; &lt;\/ options&gt;;<\/pre>\n<p align=\"justify\"><strong>SAS-STAT Logical Interview Questions for Freshers. Q- 21,22,23,24,25<\/strong><\/p>\n<p align=\"justify\"><strong>SAS-STAT Logical Interview Questions for Experience. Q- 26,27,28,29,30<\/strong><\/p>\n<p align=\"justify\">So, this all about SAS-STAT Logical Interview Questions and Answers. Hope you like our explanation.<\/p>\n<h3 align=\"justify\">Conclusion<\/h3>\n<p><span style=\"font-size: medium\">Hence, these were some of the most important SAS-STAT logical interview questions, that are frequently asked. We will come back with more interesting topics. Till then stay tuned and post your doubts in the comments section below.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>SAS-STAT Logical Interview Questions In our previous SAS-STAT tutorial, we discussed Top 30 SAS-STAT Interview Questions. In this article, we provide 30 latest SAS-STAT Logical Interview Questions. These logical questions are asked in SAS&#46;&#46;&#46;<\/p>\n","protected":false},"author":6,"featured_media":16449,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56],"tags":[4954,6967,8901,12343,13759],"class_list":["post-16444","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sas-stat","tag-frequently-asked-sasstat-interview-questions-and-answers","tag-interview-questions-for-sasstat","tag-mostly-asked-sasstat-interview-questions-and-answers","tag-sasstat-interview-questions","tag-stat-logical-interview-questions"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>30 Latest SAS-STAT Logical Interview Questions and Answers - DataFlair<\/title>\n<meta name=\"description\" content=\"Latest SAS\/STAT Logical Interview Questions and answer- To crack SAS interview, for SAS developer job, Simple Interview questions for SAS\/STAT\" \/>\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-logical-interview-questions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"30 Latest SAS-STAT Logical Interview Questions and Answers - 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