| Description |
1 online resource (414 pages) |
| Contents |
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 |
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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 |
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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) |
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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 |
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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 |
| Note |
Key Words for Generating Desired Statistics |
| Summary |
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. |
| Bibliography |
Includes bibliographical references. |
| Summary |
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. |
| Subject |
SAS (Computer file)
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SAS (Computer file) |
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SAS (Computer program language)
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Electronic data processing personnel -- Certification -- Study guides.
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SAS (Langage de programmation) |
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Electronic data processing personnel -- Certification |
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SAS (Computer program language) |
| Genre |
Study guides
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| Added Author |
Holland, Donna Dea.
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SAS Institute.
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| Other Form: |
Print version: Shreve, Joni N. SAS Certification Prep Guide : Statistical Business Analysis Using SAS9. Cary, NC : SAS Institute, ©2018 9781629603810 |
| ISBN |
9781635263527 (electronic bk.) |
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1635263522 (electronic bk.) |
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9781635263503 (electronic bk.) |
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1635263506 (electronic bk.) |
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1629603813 |
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9781629603810 |
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