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MCQ 16.1 
An orderly set of data arranged in accordance with their time of occurrence is called: 
(a) Arithmetic series (b) Harmonic series (c) Geometric series (d) Time series 
MCQ 16.2 
A time series consists of: 
(a) Short-term variations (b) Long-term variations (c) Irregular variations (d) All of the above 
MCQ 16.3 
The graph of time series is called: 
(a) Histogram (b) Straight line (c) Historigram (d) Ogive 
MCQ 16.4 
Secular trend can be measured by: 
(a) Two methods (b) Three methods (...
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MCQ 16.1 
An orderly set of data arranged in accordance with their time of occurrence is called: 
(a) Arithmetic series (b) Harmonic series (c) Geometric series (d) Time series 
MCQ 16.2 
A time series consists of: 
(a) Short-term variations (b) Long-term variations (c) Irregular variations (d) All of the above 
MCQ 16.3 
The graph of time series is called: 
(a) Histogram (b) Straight line (c) Historigram (d) Ogive 
MCQ 16.4 
Secular trend can be measured by: 
(a) Two methods (b) Three methods (...
Table of Contents 
Preface ......................................................................................................................ix 
Acknowledgment ................................................................................................ xiii 
About the Editors ..................................................................................................xv 
Authors’ Disclosures ......................................................................................... ...
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Table of Contents 
Preface ......................................................................................................................ix 
Acknowledgment ................................................................................................ xiii 
About the Editors ..................................................................................................xv 
Authors’ Disclosures ......................................................................................... ...
CONTENTS 
PREFACE xxi 
ACKNOWLEDGMENTS xxix 
PART I 
DATA PREPARATION 1 
CHAPTER 1 AN INTRODUCTION TO DATA MINING AND PREDICTIVE 
ANALYTICS 3 
1.1 What is Data Mining? What is Predictive Analytics? 3 
1.2 Wanted: Data Miners 5 
1.3 The Need for Human Direction of Data Mining 6 
1.4 The Cross-Industry Standard Process for Data Mining: CRISP-DM 6 
1.4.1 CRISP-DM: The Six Phases 7 
1.5 Fallacies of Data Mining 9 
1.6 What Tasks Can Data Mining Accomplish 10 
1.6.1 Description 10 
1.6.2 Estimation 1...
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CONTENTS 
PREFACE xxi 
ACKNOWLEDGMENTS xxix 
PART I 
DATA PREPARATION 1 
CHAPTER 1 AN INTRODUCTION TO DATA MINING AND PREDICTIVE 
ANALYTICS 3 
1.1 What is Data Mining? What is Predictive Analytics? 3 
1.2 Wanted: Data Miners 5 
1.3 The Need for Human Direction of Data Mining 6 
1.4 The Cross-Industry Standard Process for Data Mining: CRISP-DM 6 
1.4.1 CRISP-DM: The Six Phases 7 
1.5 Fallacies of Data Mining 9 
1.6 What Tasks Can Data Mining Accomplish 10 
1.6.1 Description 10 
1.6.2 Estimation 1...
Preface xix 
About the Companion Website xxxiii 
1 Preliminary Considerations 1 
1.1 
The Philosophical Bases of Knowledge: Rationalistic versus 
Empiricist Pursuits, 1 
1.2 
What is a “Model”?, 4 
1.3 
Social Sciences versus Hard Sciences, 6 
1.4 
Is Complexity a Good Depiction of Reality? Are Multivariate 
Methods Useful?, 8 
1.5 
Causality, 9 
1.6 
The Nature of Mathematics: Mathematics as a Representation 
of Concepts, 10 
1.7 
As a Social Scientist, How Much Mathematics Do You Need 
to ...
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Preface xix 
About the Companion Website xxxiii 
1 Preliminary Considerations 1 
1.1 
The Philosophical Bases of Knowledge: Rationalistic versus 
Empiricist Pursuits, 1 
1.2 
What is a “Model”?, 4 
1.3 
Social Sciences versus Hard Sciences, 6 
1.4 
Is Complexity a Good Depiction of Reality? Are Multivariate 
Methods Useful?, 8 
1.5 
Causality, 9 
1.6 
The Nature of Mathematics: Mathematics as a Representation 
of Concepts, 10 
1.7 
As a Social Scientist, How Much Mathematics Do You Need 
to ...
Contents 
2.4 BasicMatrixOperations . . . . . . . . . . . . . . . . . . . . . . . . . . 25 
a. Equality, Addition, and Multiplication of Matrices . . . . . . . . . . . 26 
b. Matrix Transposition . . . . . . . . . . . . . . . . . . . . . . . . . . 28 
c. Some Special Matrices . . . . . . . . . . . . . . . . . . . . . . . . . 29 
d. Trace and the Euclidean Matrix Norm . . . . . . . . . . . . . . . . . 30 
e. Kronecker and Hadamard Products . . . . . . . . . . . . . . . . . . . 32 
f. DirectSums ....
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Contents 
2.4 BasicMatrixOperations . . . . . . . . . . . . . . . . . . . . . . . . . . 25 
a. Equality, Addition, and Multiplication of Matrices . . . . . . . . . . . 26 
b. Matrix Transposition . . . . . . . . . . . . . . . . . . . . . . . . . . 28 
c. Some Special Matrices . . . . . . . . . . . . . . . . . . . . . . . . . 29 
d. Trace and the Euclidean Matrix Norm . . . . . . . . . . . . . . . . . 30 
e. Kronecker and Hadamard Products . . . . . . . . . . . . . . . . . . . 32 
f. DirectSums ....
Contents 
1 First steps in the analysis of functional data 1 
1.1 Basis expansions . . . . . . . . . . . . . . . . . . . . . . . . . 3 
1.2 Sample mean and covariance . . . . . . . . . . . . . . . . . . 6 
1.3 Principal component functions . . . . . . . . . . . . . . . . . 10 
1.4 Analysis of BOA stock returns . . . . . . . . . . . . . . . . . 11 
1.5 Diusion tensor imaging . . . . . . . . . . . . . . . . . . . . 14 
1.6 Chapter 1 problems . . . . . . . . . . . . . . . . . . . . . . . 17 
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Contents 
1 First steps in the analysis of functional data 1 
1.1 Basis expansions . . . . . . . . . . . . . . . . . . . . . . . . . 3 
1.2 Sample mean and covariance . . . . . . . . . . . . . . . . . . 6 
1.3 Principal component functions . . . . . . . . . . . . . . . . . 10 
1.4 Analysis of BOA stock returns . . . . . . . . . . . . . . . . . 11 
1.5 Diusion tensor imaging . . . . . . . . . . . . . . . . . . . . 14 
1.6 Chapter 1 problems . . . . . . . . . . . . . . . . . . . . . . . 17 
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The questions are in bold followed by answers. 
1. In Table 1, identify the level of measurement for the current therapy variable. Provide a 
rationale for your answer. 
Answer: The current therapy variable was measured at the nominal level. These drug categories 
were probably developed to be exhaustive for this study and included the categories of drugs the 
subjects were receiving. However, the categories are not exclusive, since patients are usually on 
more than one category of these drugs ...
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The questions are in bold followed by answers. 
1. In Table 1, identify the level of measurement for the current therapy variable. Provide a 
rationale for your answer. 
Answer: The current therapy variable was measured at the nominal level. These drug categories 
were probably developed to be exhaustive for this study and included the categories of drugs the 
subjects were receiving. However, the categories are not exclusive, since patients are usually on 
more than one category of these drugs ...
Test bank for Elementary Statistics: Picturing the World 8th edition by Ron Larson 
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Test bank for Elementary Statistics: Picturing the World 8th edition by Ron Larson 
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This notes are Easy to understand and very good note 
Very useful
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This notes are Easy to understand and very good note 
Very useful