Block Design Quiz 16

Master Block Designs in Design of Experiments (DOE) with this comprehensive Block Design Quiz featuring 20 multiple-choice questions (MCQs) covering Randomized Complete Block Design (RCBD), Balanced Incomplete Block Design (BIBD), PBIBD, Latin Square, and Youden Square designs. Perfect for students, statisticians, data analysts, and data scientists preparing for exams, competitive tests, or job interviews. Test your knowledge of key concepts, including interblock analysis, treatment effects, blocking efficiency, and experimental design assumptions. Includes detailed answers for self-assessment. Boost your DOE expertise today! Let us start with the Online Block Design Quiz now.

Online Block Design Quiz with Answers

Online Block Design Quiz with Answers

  • We can conduct an interblock analysis for a
  • If block effects are uncorrelated random variables with zero mean and fixed variance, then the least square estimates of the mean are
  • A PBIBD allows us to run an incomplete design with ——————- number of blocks that may be required in a BIBD
  • We may say that all differences in estimated treatment effects do not have the same variance in
  • A design that does not require that each pair of treatments occur together an equal number of times is called
  • Every block in a PBIBD contains ——————- number of units
  • No treatment in a PBIBD appears more than —————– in a block
  • The number of treatments that appear $\lambda_2$ times with the first treatment and $\lambda_3$ times with the second treatment is:
  • When we need to block on two sources of variation other than treatment, but can not set up complete blocks, we may use
  • A symmetric BIBD may form a
  • We can use a Youden Square design when we need to block on two sources of variation, but can not set up complete blocks as we did in the case of
  • What is the primary purpose of blocking in experimental design?
  • In a Randomized Complete Block Design (RCBD), which of the following is true?
  • Which design is used when it is not possible to test all treatments in every block?
  • In a BIBD, what does “balanced” refer to?
  • Which of the following is a key assumption of RCBD?
  • When should a Latin Square Design be used instead of RCBD?
  • What is the main disadvantage of using a BIBD compared to RCBD?
  • If an experiment has 5 treatments and 4 blocks, what is the minimum number of experimental units required for an RCBD?
  • Which of the following is NOT a characteristic of a good blocking variable?

Learn R Programming

Leave a Comment

Discover more from Statistics for Data Science & Analytics

Subscribe now to keep reading and get access to the full archive.

Continue reading