Q.1.1.10 If we transform data into more meaningful measures, then this process is referred to as: (2)   (1) Statistical modelling (2) Data enrichment (3) Data relevancy (4) Experimentation       Q.1.1.11 Categorical data, where the categories have implied ranking, is referred to as: (2)   (1) Discrete data (2) Ordinal-scaled data (3) Nominal-scaled data (4) External data       Q.1.1.12 You are the CEO of a listed company. The annual financial statements published by your company would be viewed by a rival company as: (2)   (1) Internal data (2) External data (3) Nominal data (4) Secondary data       Q.1.1.13 Data quality is influenced by: (2)   (1) The source of the data (2) The method by which the data is collected (3) The type of data collected (4) All of the other options       Q.1.1.14 Data relevancy refers to the fact that data selected for analysis must be: (2)   (1) Obtained online (2) Obtained using algorithms (3) Checked for errors and outliers (4) Problem specific   Q.1.1.15 Categorical data, where the categories are of equal importance, is referred to as: (2)   (1) Discrete data (2) Ordinal-scaled data (3) Nominal-scaled data (4) External data

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section: Chapter Questions
Problem 44P
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Q.1.1.10 If we transform data into more meaningful measures, then this 
process is referred to as: 
(2) 
  (1) Statistical modelling 
(2) Data enrichment 
(3) Data relevancy 
(4) Experimentation 
 
    
 Q.1.1.11 Categorical data, where the categories have implied ranking, is 
referred to as: 
(2) 
  (1) Discrete data 
(2) Ordinal-scaled data 
(3) Nominal-scaled data 
(4) External data 
 
    
 Q.1.1.12 You are the CEO of a listed company. The annual financial 
statements published by your company would be viewed by a rival 
company as: 
(2) 
  (1) Internal data 
(2) External data 
(3) Nominal data 
(4) Secondary data 
 
    
 Q.1.1.13 Data quality is influenced by: (2) 
  (1) The source of the data 
(2) The method by which the data is collected 
(3) The type of data collected 
(4) All of the other options 
 
    
 Q.1.1.14 Data relevancy refers to the fact that data selected for analysis must 
be: 
(2) 
  (1) Obtained online 
(2) Obtained using algorithms 
(3) Checked for errors and outliers 
(4) Problem specific 
 

 Q.1.1.15 Categorical data, where the categories are of equal importance, is 
referred to as: 
(2) 
  (1) Discrete data 
(2) Ordinal-scaled data 
(3) Nominal-scaled data 
(4) External data 
 
 

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