Q.1.1.1 The strongest form of data with regard to statistical analysis is: (2)   (1) Nominal-scaled data (2) Interval-scaled data (3) Ratio-scaled data (4) Ordinal-scaled data       Q.1.1.2 The weight of a bag of potatoes is an example of: (2)   (1) Qualitative, discrete data (2) Quantitative, continuous data (3) Qualitative, interval-scaled data (4) Quantitative, discrete data       Q.1.1.3 Data obtained from outside an organisation is referred to as: (2)   (1) External data (2) Secondary data (3) Primary data (4) Outside data       Q.1.1.4 The body temperatures obtained from a sample of 12 hospital patients represent: (2)   (1) External data (2) Interval-scaled data (3) Discrete data (4) Qualitative data     Q.1.1.5 Data that is recorded for the first time at source is referred to as: (2)   (1) General information (2) Relevant data (3) Primary data (4) Preferred statistics       Q.1.1.6 Amongst other disadvantages, which type of data may not be problem specific and/or may be out of date? (2)   (1) Ratio data (2) Ordinal scaled data (3) Quantitative, discrete data (4) Secondary data       Q.1.1.7 One advantage of primary data is that: (2)   (1) It is time consuming to collect (2) It is relevant to the purpose at hand (3) It is low quality (4) None of the other options       Q.1.1.8 Ten bags of apples are purchased from a local orchard. The number of apples inside each bag will generate: (2)   (1) Internal data (2) Interval-scaled data (3) Discrete data (4) External data       Q.1.1.9 A person that is a member of a sample is referred to as: (2)   (1) An inferential statistic (2) A statistical model (3) A sampling unit (4) A parameter

Understanding Business
12th Edition
ISBN:9781259929434
Author:William Nickels
Publisher:William Nickels
Chapter1: Taking Risks And Making Profits Within The Dynamic Business Environment
Section: Chapter Questions
Problem 1CE
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Q.1.1.1 The strongest form of data with regard to statistical analysis is: (2) 
  (1) Nominal-scaled data 
(2) Interval-scaled data 
(3) Ratio-scaled data 
(4) Ordinal-scaled data 
 
    
 Q.1.1.2 The weight of a bag of potatoes is an example of: (2) 
  (1) Qualitative, discrete data 
(2) Quantitative, continuous data 
(3) Qualitative, interval-scaled data 
(4) Quantitative, discrete data 
 
    
 Q.1.1.3 Data obtained from outside an organisation is referred to as: (2) 
  (1) External data 
(2) Secondary data 
(3) Primary data 
(4) Outside data 
 
    
 Q.1.1.4 The body temperatures obtained from a sample of 12 hospital 
patients represent: 
(2) 
  (1) External data 
(2) Interval-scaled data 
(3) Discrete data 
(4) Qualitative data 
 
  
 Q.1.1.5 Data that is recorded for the first time at source is referred to as: (2) 
  (1) General information 
(2) Relevant data 
(3) Primary data 
(4) Preferred statistics 
 
    
 Q.1.1.6 Amongst other disadvantages, which type of data may not be 
problem specific and/or may be out of date? 
(2) 
  (1) Ratio data 
(2) Ordinal scaled data 
(3) Quantitative, discrete data 
(4) Secondary data 
 
    
 Q.1.1.7 One advantage of primary data is that: (2) 
  (1) It is time consuming to collect 
(2) It is relevant to the purpose at hand 
(3) It is low quality 
(4) None of the other options 
 
    
 Q.1.1.8 Ten bags of apples are purchased from a local orchard. The number 
of apples inside each bag will generate: 
(2) 
  (1) Internal data 
(2) Interval-scaled data 
(3) Discrete data 
(4) External data 
 
    
 Q.1.1.9 A person that is a member of a sample is referred to as: (2) 
  (1) An inferential statistic 
(2) A statistical model 
(3) A sampling unit 
(4) A parameter

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