Experimental Design Quiz 12

Think you know your multiple comparison tests? Take this Experimental Design Quiz to assess your understanding of Tukey’s Test, Scheffé’s Test, Fisher’s LSD Test, Duncan’s Multiple Range Test, Dunnett’s Test, and Stepwise Multiple Comparisons.

These post-hoc tests are essential in ANOVA to identify significant differences between treatment means while controlling Type I error. Whether you are a statistics student, researcher, or data analyst, this Experimental Design Quiz will challenge your grasp of treatment comparisons, statistical significance, and hypothesis testing.

Online Experimental Design Quiz with Answers

Topics Covered in this Experimental Design Quiz are:

  • Tukey’s HSD Test
  • Scheffé’s Method
  • Fisher’s Least Significant Difference (LSD) Test
  • Duncan’s Multiple Range Test
  • Dunnett’s Test for Control Comparisons
  • Stepwise Multiple Comparison Procedures

Ready to test your skills? How well you understand statistical comparisons in experimental design!, take the quiz now.

Online Experimental Design Quiz with Answers

1. LSD test is one of the multiple comparison tests which are useful when we are interested in comparing:

 
 
 
 

2. Duncan’s Multiple Range (DMR) Test is used compare:

 
 
 
 

3. LSD is the extension of:

 
 
 
 

4. DMR test statistic uses:

 
 
 
 

5. What characteristic of an experiment is missing from a quasi-experimental design?

 
 
 
 

6. A stepwise multiple comparisons procedure used to identify sample means that are significantly different from each other is:

 
 
 
 

7. Tukey’s test procedure is based on:

 
 
 
 

8. Scheffes method uses:

 
 
 
 

9. Which of the following can increase the rigor of a quasi-experimental study?

 
 
 
 

10. A study with random assignment can conclude that the explanatory variables caused the response variable.

 
 

11. If the analyst is interested in comparing each of the treatment with the control we may choose:

 
 
 
 

12. Dunnet’s Test uses difference of treatment mean and the mean of:

 
 
 
 

13. LSD test uses:

 
 
 
 

14. Scheffes Test is a statistical test that is used to make —————– comparisons among the treatment means.

 
 
 
 

15. Scheffes method is more useful when we want to compare:

 
 
 
 

16. Tukey’s Test is used as a:

 
 
 
 

17. In Dunnet’s Test we use:

 
 
 
 

18. In order to apply Duncan’s Multiple Range (DMR) Test we have to:

 
 
 
 

19. Tukey’s test uses:

 
 
 
 

20. Tukey’s test deals with ————— means regardless of how many means are in the group:

 
 
 
 

Online Experimental Design Quiz with Answers

  • What characteristic of an experiment is missing from a quasi-experimental design?
  • A study with random assignment can conclude that the explanatory variables caused the response variable.
  • Which of the following can increase the rigor of a quasi-experimental study?
  • Tukey’s Test is used as a:
  • Scheffes Test is a statistical test that is used to make —————– comparisons among the treatment means.
  • Scheffes method is more useful when we want to compare:
  • Scheffes method uses:
  • LSD test is one of the multiple comparison tests which are useful when we are interested in comparing:
  • LSD is the extension of:
  • LSD test uses:
  • Tukey’s test procedure is based on:
  • Tukey’s test deals with ————— means regardless of how many means are in the group:
  • Tukey’s test uses:
  • In order to apply Duncan’s Multiple Range (DMR) Test we have to:
  • Duncan’s Multiple Range (DMR) Test is used compare:
  • DMR test statistic uses:
  • If the analyst is interested in comparing each of the treatment with the control we may choose:
  • In Dunnet’s Test we use:
  • Dunnet’s Test uses difference of treatment mean and the mean of:
  • A stepwise multiple comparisons procedure used to identify sample means that are significantly different from each other is:

Python for Beginners

Quiz Design of Experiments 11

Challenge your understanding of experimental design with this comprehensive Quiz Design of Experiments covering non-parametric alternatives to ANOVA, Friedman and Kruskal-Wallis tests, rank transformations, treatment contrasts, orthogonal contrasts, and multiple comparison methods. Sharpen your skills and test your knowledge with our Quiz Design of Experiments is a perfect resource for mastering the principles of experimental design and statistical testing. The Quiz is ideal for students, data scientists, analysts, and researchers. Let us start with the Quiz Design of Experiments now.

Online Quiz Design of Experiments with Answers
Please go to Quiz Design of Experiments 11 to view the test

Online Quiz Design of Experiments with Answers

  • Which one is not a non-parametric alternate to ANOVA?
  • Friedman two-way analysis of variance test is used to determine whether the M samples have been drawn from:
  • Non-parametric tests make no assumptions about the —————— of the variables being assessed.
  • Kruskal-Wallis test is also called:
  • For only two groups Kruskal-Wallis test extends to:
  • Kruskal-Wallis test uses:
  • The ANOVA on ranks has never been recommended when the underlying assumption of —————— has been violated.
  • A variant of rank-transformation is:
  • ANOVA on ranks is a statistic designed for situations when the underlying assumption of homogeneous variances has been violated:
  • ANOVA does not tell us which treatments are —————- to/from each other.
  • A linear combination of treatment means is:
  • One method to examine treatment effects is called:
  • The kinds of inference we work with contrast are:
  • Does the resulting F-test of contrast involving four means use degrees of freedom?
  • A contrast is tested by comparing its mean squares to the ————— using ANOVA techniques.
  • Number of orthogonal contrasts which are always possible with $a$ treatments are:
  • Orthogonal contrasts are always:
  • The choice of contrasts is based on the:
  • Multiple comparison tests are used when:
  • Multiple comparison tests are also called what?

Data Analysis in R Language

Design of Experiments Assumptions Quiz 10

Test your expertise with this Design of Experiments Assumptions Quiz! Perfect for students, statisticians, researchers, and DOE professionals. This Design of Experiments Assumptions Quiz covers key concepts like residuals, normality tests, and model validation. Sharpen your skills and validate your knowledge about the design of experiments (DOE). Take the Design of Experiments Assumptions Quiz now!

Design of Experiments Assumptions Quiz with Answers
Please go to Design of Experiments Assumptions Quiz 10 to view the test

Online Design of Experiments Assumptions Quiz with Answers

  • A measure used in statistical analysis that assesses how well a model explains and predicts future outcomes is called
  • In a ——————- $R^2$ is equal to square of Pearson’s correlation
  • The range of coefficient of determination is from:
  • Residuals are estimates of ——————— obtained by subtracting the observed responses from the predicted responses.
  • Residuals as elements of variation unexplained by the ——————.
  • Residual is a form of:
  • The normal probability plot is a graphical technique for assessing ——————–.
  • If the error distribution is normal, the plot will resemble —————-.
  • A normal probability plot is also useful
  • Plot of Residuals in Time Series are useful for:
  • If the spread of residuals is different on two ends of the plot, then non-constant ————— is suspected.
  • Plot of Residuals in Time Series are useful for to detect:
  • Test of Equality of Variances include
  • Bartlett’s test utilizes —————.
  • Bartlett’s test is used to test equality of more than:
  • A Q-Q plot is constructed between —————.
  • Residuals follow normal distribution if residual plot resembles —————–.
  • A Q-Q plot is constructed by plotting sample quantiles vs:
  • Transforming the data in case of violation of assumption require
  • The predicted value versus residual plot should show:

MCQs Sequence and Series Quiz

R Programming Language