SAS certification prep guide : statistical business analysis using SAS9 / Joni N. Shreve, Donna Dea Holland
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 Sta...
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| Format: | eBook |
| Language: | English |
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Cary, NC :
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2018.
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| 100 | 1 | |a Shreve, Joni N. | |
| 245 | 1 | 0 | |a SAS certification prep guide : |b statistical business analysis using SAS9 / |c Joni N. Shreve, Donna Dea Holland |
| 260 | |a Cary, NC : |b SAS Institute, |c 2018. | ||
| 300 | |a 1 online resource (414 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 505 | 0 | |a 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 | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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) | |
| 505 | 8 | |a 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 | |
| 505 | 8 | |a 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 | |
| 500 | |a Key Words for Generating Desired Statistics | ||
| 520 | |a 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. | ||
| 504 | |a Includes bibliographical references. | ||
| 520 | |a 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. | ||
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