Chapter 1: Statistics and Making Sense of Our World

Introduction. 1

What Is Statistics?. 2

The Two Branches of Statistics. 2

Variable Types and SAS Data Types. 3

Variable Types. 3

SAS Data Types. 3

The Data Analytics Process. 4

Defining the Purpose. 4

Data Preparation. 4

Analyzing the Data and Roadmap to the Book. 7

Conclusions and Interpretation. 8

Getting Started with SAS. 9

Diabetic Care Management Case. 9

Ames Housing Case. 9

Accessing the Data in the SAS Environment 10

Key Terms. 12

Introduction

The goal of this book is to prepare future analysts for the SAS statistical business analysis certification exam.1 Therefore, the book aims to validate a strong working knowledge of complex statistical analyses, including analysis of variance, ...

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