Analysis Of Variance

15 Questions | Total Attempts: 4260

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Analysis Of Variance

This test is on the topic Analysis of Variance, subject Quantitative Models in HR. It is a multiple- choice test. Questions: 15 questions Marks: 30Time: 45 mins Remember: You need to click on Submit Answer after selecting an option for each question. Click on Start Quiz to begin


Questions and Answers
  • 1. 
    The number of rows in which total variance in a one way analysis of variance partitioned is:
    • A. 

      2

    • B. 

      3

    • C. 

      4

    • D. 

      None of the above

  • 2. 
    The number of rows in which total variance in a two way analysis of variance partitioned is:
    • A. 

      2

    • B. 

      3

    • C. 

      4

    • D. 

      None of the above

  • 3. 
    Any difference among the population means in the analysis of variance will inflate the expected value of
    • A. 

      SSE

    • B. 

      MS Columns

    • C. 

      MSE

    • D. 

      All of the above

  • 4. 
    If data in a two way classification is displayed in r rows and k columns, then the degrees of freedom for interaction will be
    • A. 

      R-1

    • B. 

      k-1

    • C. 

      R(k-1)

    • D. 

      (r-1)(k-1)

  • 5. 
    The degrees of freedom for k columns of size n will be         
    • A. 

      k-1

    • B. 

      n-1

    • C. 

      nk-1

    • D. 

      none of these

  • 6. 
    The degrees of freedom associated with the denominator (r row & k column) of  F-test in the analysis of variance one way are  
    • A. 

      k(r-1)

    • B. 

      n(k-1)

    • C. 

      nk-1

    • D. 

      None of these

  • 7. 
    The sum of squares due to column factor for one way analysis of variance is given by:  
    • A. 

      SST+ SSE

    • B. 

      SSE-SST

    • C. 

      SST-SSE

    • D. 

      None of these

  • 8. 
    The error sum of squares in a one way analysis of variance is given by  
    • A. 

      ∑∑ (xij - x j )2

    • B. 

      ∑∑X2 ij – n (x)2

    • C. 

      ∑∑ (xij – x) 2

    • D. 

      None of these

  • 9. 
    The error sum of squares can be obtained from the equation in 2 way ANOVA
    • A. 

      SSE = SST+ SSR + SSC

    • B. 

      SSE= SSR + SSC – SST

    • C. 

      SSE= SST – SSR – SSC

    • D. 

      None of these

  • 10. 
    The degrees of freedom for the error sum of squares in 2 way ANOVA  
    • A. 

      (k-1)(r-1)

    • B. 

      Rk-r -k

    • C. 

      rk-r -k+1

    • D. 

      None

  • 11. 
    Which of these distributions is used for accepting Ho  
    • A. 

      Binominal

    • B. 

      Chi- Square

    • C. 

      Poisson

    • D. 

      None of these

  • 12. 
    To test equality of means of more than 2 populations which of the following techniques is used  
    • A. 

      Interval estimate

    • B. 

      Analysis of variance

    • C. 

      Chi-square test

    • D. 

      None of these

  • 13. 
    Which of the following assumptions of ANOVA can be discarded in case the sample size is large  
    • A. 

      Each population has equal variance

    • B. 

      Samples are drawn from a normal population

    • C. 

      Both(a ) and (b)

    • D. 

      none of these

  • 14. 
    Test statistic for equality of r population means is
    • A. 

      MSC / MSE

    • B. 

      MSC/ MST

    • C. 

      SSC / SST

    • D. 

      None of these

  • 15. 
    One way ANOVA was conducted for 4 columns with 6 elements in each column. What is decision?Due to column factor  Source of Veriation SS df MS F Calc Critical Due to column factor 33       3.098 Error           Total 145          
    • A. 

      Accept + Ho

    • B. 

      Reject Ho

    • C. 

      Test is inappropriate

    • D. 

      Data inadequate

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