Design of Experiments Quiz Test 9

Online Design of Experiments Quiz Test Questions with Answers. There are 20 MCQs in this DOE Quiz that cover the basics of the design of experiments, hypothesis testing, basic principles, single-factor experiments, sums of squares and means squares. Let us start with the “Design of Experiments Quiz Test with Answer”. Let us start with the Design of Experiments Quiz Test Questions with Answers now.

MCQs Design of Experiments Quiz Test with Answers

Online Design of Experiments Quiz Test with Answers

1. The Theorem which tells us about the distributions of partitioned sums of squares of normally distributed random variables is called:

 
 
 
 

2. Which one is not a model adequacy-checking tool?

 
 
 
 

3. A market analyst is interested in examining a particular brand of machines, he draws a random sample of the brand and examines the working of machines. We choose:

 
 
 
 

4. The Kruskal-Wallis Test can be used to check:

 
 
 
 

5. The error sum of squares can be computed by ———————-.

 
 
 
 

6. The expected value of the mean square of treatment is equal to:

 
 
 
 

7. For $a$ treatments the degree of freedom of treatment is:

 
 
 
 

8. The mean square of error is computed by dividing the sum of the squares of error by:

 
 
 
 

9. Within treatments or error sum of squares is also called:

 
 
 
 

10. Between the sum of squares is also called:

 
 
 
 

11. Error degree of freedom is computed by subtracting treatment degree of freedom from:

 
 
 
 

12. The sum of observations from their mean is equal to:

 
 
 
 

13. Which one is a non-parametric test?

 
 
 
 

14. The sum of squares of the total can be partitioned into ——————–

 
 
 
 

15. To study how a particular group of antibiotics acts on the body, an experimenter takes a random sample from such antibiotics and observes their working. The model used is called:

 
 
 
 

16. Cochran’s theorem concludes that, under the assumption of normality, the various quadratic forms are independent and have:

 
 
 
 

17. The expected value of the mean square of treatment is always ————– to/than the expected value of the mean square of error.

 
 
 
 

18. The mean square of treatment is computed by dividing the sum of the squares of error by:

 
 
 
 

19. The expected value of the mean square of error is equal to:

 
 
 
 

20. The chi-square distribution is the ratio of two —————— variables.

 
 
 
 

Design of Experiments Quiz Test

  • A market analyst is interested in examining a particular brand of machines, he draws a random sample of the brand and examines the working of machines. We choose:
  • To study how a particular group of antibiotics acts on the body, an experimenter takes a random sample from such antibiotics and observes their working. The model used is called:
  • The sum of squares of the total can be partitioned into ——————–
  • The error sum of squares can be computed by ———————-.
  • Error degree of freedom is computed by subtracting treatment degree of freedom from:
  • The Theorem which tells us about the distributions of partitioned sums of squares of normally distributed random variables is called:
  • Cochran’s theorem concludes that, under the assumption of normality, the various quadratic forms are independent and have:
  • The chi-square distribution is the ratio of two —————— variables.
  • Within treatments or error sum of squares is also called:
  • Between the sum of squares is also called:
  • The sum of observations from their mean is equal to:
  • The mean square of error is computed by dividing the sum of the squares of error by:
  • The expected value of the mean square of error is equal to:
  • For $a$ treatments the degree of freedom of treatment is:
  • The mean square of treatment is computed by dividing the sum of the squares of error by:
  • The expected value of the mean square of treatment is equal to:
  • The expected value of the mean square of treatment is always ————– to/than the expected value of the mean square of error.
  • Which one is not a model adequacy-checking tool?
  • Which one is a non-parametric test?
  • The Kruskal-Wallis Test can be used to check:

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