Important MCQs on Experimental Design 1

The post is about MCQs on Experimental Design with Answers. There are 20 multiple-choice questions. The quiz is related to the Basics of the Design of Experiments, Analysis of variation, assumptions of ANOVA, One-Way ANOVA, Single-factor designs, and Two-Way ANOVA. Let us start with the MCQs on Experimental Design Quiz.

MCQs about Designs of Experiment

1. Consider $k$ independent samples each containing $n_1, n_2, \cdots, n_k$ items such that $n_1+n_2+\cdots+ n_k=n$. In ANOVA we use F-distribution with a degree of freedom

 
 
 
 

2. Analysis of variance is used to test

 
 
 
 

3. If the treatments consist of all combinations that can be formed from the different factors then the experiment is

 
 
 
 

4. In ANOVA we use

 
 
 
 

5. In two-way ANOVA with $m$ rows and $n$ columns, the error degrees of freedom is

 
 
 
 

6. In one-way ANOVA, given $SSB = 2580, SSE =1656, k = 4, n = 20$ then the value of F is

 
 
 
 

7. If the total degrees of freedom between treatments in a CRD are 15 and 4 respectively, the degrees of freedom for error will be

 
 
 
 

8. In two-way ANOVA with $m=5$, $n=4$, then the total degrees of freedom is

 
 
 
 

9. If there are 6 treatments with 3 blocks in a RCBD then the degrees of freedom for error are

 
 
 
 

10. In one-way ANOVA with the total number of observations is 15 with 5 treatments then the total degrees of freedom is

 
 
 
 

11. The assumption used in ANOVA is

 
 
 
 

12. A Mean Square is

 
 
 
 

13. Which of the following are important in designing an experiment?

 
 
 
 

14. In one-way ANOVA, the calculated F value is less than the table F value then

 
 
 
 

15. Analysis of variance

 
 
 
 

16. A teacher uses different teaching ways for different groups in his class to see which yields the best results. In this example a treatment is

 
 
 
 

17. In one-way ANOVA, with the usual notation, the error degree of freedom is

 
 
 
 

18. Consider an experiment to investigate the efficacy of different insecticides in controlling pests and their effects on subsequent yield. What is the best reason for randomly assigning treatment levels (spraying or not spraying) to the experimental units (farms)?

 
 
 
 

19. An experiment is performed in CRD with 10 replications to compare two treatments. The total experimental units will be

 
 
 
 

20. For a single-factor ANOVA involving five populations, which of the following statements is true about the alternative hypothesis?

 
 
 
 

Online MCQs on Experimental Design

MCQs on Experimental Design Quiz
  • Analysis of variance is used to test
  • The assumption used in ANOVA is
  • In ANOVA we use
  • Consider $k$ independent samples each containing $n_1, n_2, \cdots, n_k$ items such that $n_1+n_2+\cdots+ n_k=n$. In ANOVA we use F-distribution with a degree of freedom
  • In one-way ANOVA, with the usual notation, the error degree of freedom is
  • In one-way ANOVA, given $SSB = 2580, SSE =1656, k = 4, n = 20$ then the value of F is
  • In two-way ANOVA with $m$ rows and $n$ columns, the error degrees of freedom is
  • In one-way ANOVA, the calculated F value is less than the table F value then
  • In two-way ANOVA with $m=5$, $n=4$, then the total degrees of freedom is
  • In one-way ANOVA with the total number of observations is 15 with 5 treatments then the total degrees of freedom is
  • If the treatments consist of all combinations that can be formed from the different factors then the experiment is
  • Consider an experiment to investigate the efficacy of different insecticides in controlling pests and their effects on subsequent yield. What is the best reason for randomly assigning treatment levels (spraying or not spraying) to the experimental units (farms)?
  • Which of the following are important in designing an experiment?
  • Analysis of variance
  • A Mean Square is
  • For a single-factor ANOVA involving five populations, which of the following statements is true about the alternative hypothesis?
  • An experiment is performed in CRD with 10 replications to compare two treatments. The total experimental units will be
  • A teacher uses different teaching ways for different groups in his class to see which yields the best results. In this example a treatment is
  • If the total degrees of freedom between treatments in a CRD are 15 and 4 respectively, the degrees of freedom for error will be
  • If there are 6 treatments with 3 blocks in a RCBD then the degrees of freedom for error are
Statistics Help MCQs on Experimental Design

https://gmstat.com

https://rfaqs.com

Leave a Comment

Discover more from Statistics for Data Analyst

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

Continue reading