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
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?
