Design of Experiments (DOE)

Test your knowledge of statistical methods and experimental designs with this 20-question MCQ quiz! This Basic Design Experiment MCQS Quiz is perfect for students, researchers, and statisticians preparing for exams or job tests. This quiz covers key topics like the Neuman-Keuls Test, one-factor-at-a-time designs, repeated measures design, crossover designs, and more. Assess your understanding of Type I error risks, precision in experiments, and optimal design choices for different research scenarios. Whether you are brushing up on statistical concepts or preparing for competitive tests, this Basic Design Experiment MCQs quiz will help reinforce your expertise. Take the challenge now and see how well you score!

Online Basic Design Experiment MCQs with Answers

• The Neuman-Keuls Test starts with the difference between pairs of means, starting from the difference of:
• The Neuman-Keuls Test uses:
• The risk of type I error may be considerably inflated using:
• This test requires a greater observed difference to detect significantly different pairs of means:
• Cramer and Swanson (1973) have conducted ————– studies of a number of multiple comparison methods.
• One-factor-at-a-time designs can be used when factors are:
• One-factor-at-a-time designs include:
• In one-factor-at-a-time designs, we use:
• If a large fraction of experimental units does not respond, the suitable design is:
• Precision of a —————- is low if experimental units are not uniform:
• The design that allocated the maximum degree of freedom to error is:
• In small experiments where there is a small number of degrees of freedom, the suitable design is:
• In computer-based experiments, the variation may be easily controlled through sophisticated software. Hence —————— may be successfully applied:
• Appropriate use of ————— is under conditions where the experimental material is homogeneous.
• In a repeated measures design, each group member in an experiment is tested for multiple conditions over time or under different conditions
• A crossover design is where subjects are assigned all treatments, and the results are measured over time, is called:
• Whether new drugs are effective at different cholesterol levels and at different time intervals, we use:
• The repeated measures design model is similar to:
• In a Repeated measures design subjects are ——————.
• Repeated measures design is an extension of:

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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.

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.

Please go to Experimental Design Quiz 12 to view the test

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

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.

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