9781635263527

1635263522

9781635263503

1635263506

9781629603810

Must-have study guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam! Written for both new and experienced SAS programmers, the SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9 is an in-depth prep guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam. The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the cert.

Written for both new and experienced SAS programmers, the SAS Certification Prep Guide: Statistical Business Analysis Using SAS9 is an in-depth prep guide for the SAS Certified Statistical Business Analyst Using SAS9: Regression and Modeling exam. The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader's comprehension of the material presented. Major topics include: ANOVA, Linear Regression, Logistic Regression, Prepare Inputs for Predictive Modeling Performance, Measure Model Performance. For those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics.

Intro; Contents; About This Book; What Does This Book Cover?; Requirements and Details; Exam Objectives; Take a Practice Exam; Registering for the Exam; Syntax Conventions; What Should You Know about the Examples?; Software Used to Develop the Book's Content; Example Code and Data; SAS University Edition; Where Are the Exercise Solutions?; We Want to Hear from You; Chapter 1: Statistics and Making Sense of Our World; Introduction; What Is Statistics?; The Two Branches of Statistics; Variable Types and SAS Data Types; Variable Types; Table 1.1 Data for the Study of Diabetes; SAS Data Types

The Data Analytics ProcessDefining the Purpose; Table 1.2 Examples of Analyses by Purpose for Various Industries; Data Preparation; Sampling; Cleaning the Data; Exploring the Data; Analyzing the Data and Roadmap to the Book; Table 1.3 Summary of Statistical Models for Business Analysis Certification by Variable Role; Conclusions and Interpretation; Getting Started with SAS; Diabetic Care Management Case; Ames Housing Case; Table 1.4 List of Data Sets Used in the Book by Chapter; Accessing the Data in the SAS Environment

Program 1.1 PROC CONTENTS of the Diabetes Care Management Case Data SetSAS Log 1.1 PROC CONTENTS of the Diabetes Care Management Case Data Set; Output 1.1 PROC CONTENTS of the Diabetes Care Management Case Data Set; Key Terms; Chapter 2: Summarizing Your Data with Descriptive Statistics; Introduction; Measures of Center; Mean; Figure 2.1 Time to Process Online Orders (in Hours); Median; Mode; Table 2.1 Number of Deaths for Top Ten Causes

2014 United States; Measures of Variation; Range; Table 2.2 Time to Process Orders (in Hours) by Retailer; Figure 2.2 Time to Process Orders (in Hours)

VarianceTable 2.3 Descriptive Statistics for Time to Process Orders; Table 2.4 Calculations for Variance as Average Squared Deviations; Standard Deviation; Measures of Shape; Skewness; Figure 2.3 Examples of Symmetric and Asymmetric Distributions; Table 2.5 Sum of Z3 Values for Calculating Skewness; Kurtosis; Figure 2.4 Examples of Kurtosis as Compared to the Normal Distribution; Table 2.6 Sum of Z4 Values for Calculating Kurtosis; Other Descriptive Measures; Percentiles, the Five-Number-Summary, and the Interquartile Range (IQR); Percentiles

The Five-Number-Summary and the Interquartile Range (IQR)Figure 2.5 Time to Process Online Orders (in Hours) for Retailer 2; Outliers; The MEANS Procedure; Procedure Syntax for PROC MEANS; Program 2.1 PROC MEANS of Process Time and Amount Spent for Retailer 1; Output 2.1 PROC MEANS of Process Time and Amount Spent for Retailer 1; Customizing Output with the VAR statement and Statistics Keywords; Program 2.2 PROC MEANS with Additional Descriptive Statistics of Process Time for Retailer 1; Output 2.2 PROC MEANS with Additional Descriptive Statistics of Process Time for Retailer 1

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