Design of Experiments (DOE)

Lecture notes and quizzes related to the Design of Experiments (DOE).

Block Design MCQs Test 15

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Test your knowledge of Block Design with this 20-question MCQ quiz! Online Block Design MCQs Test is perfect for statisticians, data analysts, data scientists, students, and learners preparing for exams or job interviews. The Block Design MCQs Test covers key concepts like BIBD, Graeco-Latin squares, crossover trials, efficiency, and randomization. Assess your expertise in experimental design and boost your confidence! Let us start with the Block Design MCQs Test now.

Online Block Design MCQs Test with Answers Design of Experiments Quiz

Online Block Design MCQs Test with Answers

1. Adjusted treatment total sums to

 
 
 
 

2. The sum of squares of treatments needs adjustments for incompleteness in

 
 
 
 

3. Block size of BIBD for eight treatments can be 2, 4, and

 
 
 
 

4. BIBD for blocks = 4, block size = 3, treatments = 4, replications = 3, includes number of pairs of observations

 
 
 
 

5. In BIBD, all differences between treatments are measured equally.

 
 
 
 

6. Graeco-Latin square design is also called

 
 
 
 

7. Random effects analysis is known as

 
 
 
 

8. When effects are measured as deviation from the overall mean, the sum of effects is equal to

 
 
 
 

9. GLS designs are constructed for a number of treatments from 3-12, except

 
 
 
 

10. The degree of freedom of error is small if the number of treatments is

 
 
 
 

11. If blocking on two sources of variation using incomplete blocks, it is

 
 
 
 

12. Cyclic design structure includes some balanced incomplete and

 
 
 
 

13. The incomplete design in which each ————— of treatment occurs together the same number of times is called

 
 
 
 

14. The order of treatment in a crossover experiment is called a

 
 
 
 

15. Efficiency measures the estimation power or —————- of a design.

 
 
 
 

16. A —————- design is used to control three sources of variation other than treatment.

 
 
 
 

17. If the response from a crossover trial is binary and there are no period effects, we can use

 
 
 
 

18. In a ——————, the units are randomized to a treatment and remain on that treatment throughout the trial duration

 
 
 
 

19. When $p=3$, the error degree of freedom in a GLS design is

 
 
 
 

20. ————- is used in the situation when there are a large number of treatment combinations.

 
 
 
 

Question 1 of 20

Online Block Design MCQs Test with Answers

  • Efficiency measures the estimation power or —————- of a design.
  • In a ——————, the units are randomized to a treatment and remain on that treatment throughout the trial duration
  • The order of treatment in a crossover experiment is called a
  • If the response from a crossover trial is binary and there are no period effects, we can use
  • A —————- design is used to control three sources of variation other than treatment.
  • Graeco-Latin square design is also called
  • When effects are measured as deviation from the overall mean, the sum of effects is equal to
  • GLS designs are constructed for a number of treatments from 3-12, except
  • When $p=3$, the error degree of freedom in a GLS design is
  • The degree of freedom of error is small if the number of treatments is
  • If blocking on two sources of variation using incomplete blocks, it is
  • ————- is used in the situation when there are a large number of treatment combinations.
  • Cyclic design structure includes some balanced incomplete and
  • The incomplete design in which each ————— of treatment occurs together the same number of times is called
  • In BIBD, all differences between treatments are measured equally.
  • Block size of BIBD for eight treatments can be 2, 4, and
  • The sum of squares of treatments needs adjustments for incompleteness in
  • Adjusted treatment total sums to
  • BIBD for blocks = 4, block size = 3, treatments = 4, replications = 3, includes number of pairs of observations
  • Random effects analysis is known as

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Block Design DOE Quiz 14

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Test your knowledge of Design of Experiments (DoE) with this Block Design & Latin Square Quiz! This MCQ-based Block Design DOE Quiz covers key concepts like Randomized Complete Block Design (RCBD), Latin Square Design, blocking efficiency, experimental unit arrangements, and more. Perfect for students and researchers in statistics, data science, and experimental design, this quiz helps reinforce understanding of nuisance factors, error degrees of freedom, isotopism, and design efficiency. Sharpen your skills in DoE methodologies and see how well you grasp these advanced statistical techniques!

Please go to Block Design DOE Quiz 14 to view the test

Online Block Design DOE Quiz

  • If the experimental units are homogeneous, then —————- is more efficient than RCBD.
  • In an RCBD error degrees of freedom are smaller than those for the
  • The efficiency of the design decreases when the block size
  • When we want to control the variation of two nuisance factors or two extraneous variables, we use
  • A Latin square design for $p$ factors is also called
  • A Latin square design is applied when two sources of variation are used in the same number of levels, which is also equal to the number of levels of
  • The arrangement of experimental units in groups is called
  • Blocking is used for —————– factors that can be controlled and fixed.
  • Blocking reduces —————– variability.
  • In RCBD treatments in blocks are randomly assigned to the
  • In RCBD, each treatment is applied in each block
  • The analysis of the data from an RCBD is relatively simple when compared to other designs with
  • The design that uses less number of experimental units as compared to a CRD for the same number of treatments is
  • Permute the rows, permute the columns, and permute the names of the symbols of a Latin square we get
  • Isotopism is a/an ————- relation and all isotopic Latin squares make an isotopy class.
  • A —————– Latin square does not allow the analysis of interaction in any case.
  • When using —————- Latin squares, it is highly desirable to replicate the Latin squares to have enough degrees of freedom to estimate error.
  • Latin squares experiment can be replicated by using —————.
  • In all cases of relative efficiency, if $R.E.>1$, the blocking has —————- efficiency.
  • The assumed model in the case of a Latin square design includes a number of terms equal to ————–.
Online Block Design DOE Quiz with Answers Statistics MCQs

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Basic Design Experiment MCQs 13

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Test your knowledge of statistical methods and experimental designs with this 20-question MCQ quiz! This Basic Design Experiment MCQS Quiz is perfect for students, researchers, and statisticians preparing for exams or job tests. This quiz covers key topics like the Neuman-Keuls Test, one-factor-at-a-time designs, repeated measures design, crossover designs, and more. Assess your understanding of Type I error risks, precision in experiments, and optimal design choices for different research scenarios. Whether you are brushing up on statistical concepts or preparing for competitive tests, this Basic Design Experiment MCQs quiz will help reinforce your expertise. Take the challenge now and see how well you score!

Online Basic Design Experiment MCQs with Answers
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Online Basic Design Experiment MCQs with Answers

  • The Neuman-Keuls Test starts with the difference between pairs of means, starting from the difference of:
  • The Neuman-Keuls Test uses:
  • The risk of type I error may be considerably inflated using:
  • This test requires a greater observed difference to detect significantly different pairs of means:
  • Cramer and Swanson (1973) have conducted ————– studies of a number of multiple comparison methods.
  • One-factor-at-a-time designs can be used when factors are:
  • One-factor-at-a-time designs include:
  • In one-factor-at-a-time designs, we use:
  • If a large fraction of experimental units does not respond, the suitable design is:
  • Precision of a —————- is low if experimental units are not uniform:
  • The design that allocated the maximum degree of freedom to error is:
  • In small experiments where there is a small number of degrees of freedom, the suitable design is:
  • In computer-based experiments, the variation may be easily controlled through sophisticated software. Hence —————— may be successfully applied:
  • Appropriate use of ————— is under conditions where the experimental material is homogeneous.
  • In a repeated measures design, each group member in an experiment is tested for multiple conditions over time or under different conditions
  • A crossover design is where subjects are assigned all treatments, and the results are measured over time, is called:
  • Whether new drugs are effective at different cholesterol levels and at different time intervals, we use:
  • The repeated measures design model is similar to:
  • In a Repeated measures design subjects are ——————.
  • Repeated measures design is an extension of:

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