A police academy has just brought in a batch of new recruits.  All recruits are given an aptitude test and a fitness test. Suppose a researcher wants to know if there is a significant difference in aptitude scores based on a recruits’ fitness level. Recruits are ranked on a scale of 1 – 3 for fitness (1 = lowest fitness category, 3 = highest fitness category). Using “ApScore” as your dependent variable and “FitGroup” as your independent variable, conduct a One-Way, Between Subjects, ANOVA, at α = 0.05, to see if there is a significant difference on the aptitude test between fitness groups.  Identify the correct values for dfbetween and dfwithin     A. dfbetween = 7 dfwithin = 7   B. dfbetween = 13 dfwithin = 2   C. dfbetween = 2 dfwithin = 13   D. dfbetween = 2 dfwithin = 2

Operations Research : Applications and Algorithms
4th Edition
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Wayne L. Winston
Chapter19: Probabilistic Dynamic Programming
Section19.4: Further Examples Of Probabilistic Dynamic Programming Formulations
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A police academy has just brought in a batch of new recruits.  All recruits are given an aptitude test and a fitness test. Suppose a researcher wants to know if there is a significant difference in aptitude scores based on a recruits’ fitness level. Recruits are ranked on a scale of 1 – 3 for fitness (1 = lowest fitness category, 3 = highest fitness category). Using “ApScore” as your dependent variable and “FitGroup” as your independent variable, conduct a One-Way, Between Subjects, ANOVA, at α = 0.05, to see if there is a significant difference on the aptitude test between fitness groups. 

Identify the correct values for dfbetween and dfwithin

 

 
  • A.
    dfbetween = 7
    dfwithin = 7

     

  • B.
    dfbetween = 13
    dfwithin = 2

     

  • C.
    dfbetween = 2
    dfwithin = 13

     

  • D.
    dfbetween = 2
    dfwithin = 2

 

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