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Design of Experiments (DOE) Quiz Questions

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Design of Experiments Quiz : Explore the fundamental concepts of Design of Experiments ( DoE ) with this informative quiz. Do you have a solid grasp of experimental design techniques and their applications in optimizing processes and product designs? This quiz will evaluate your understanding of factorial designs, response surface methodology, and the principles of creating efficient experiments.

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MCQ on Experimental Design

Enhance your knowledge of Design of Experiments with our interactive quiz. Put your skills to the test with our engaging MCQs and excel in the science of efficient experimentation. This MCQ on Experimental Design will help you to understand the basic principles and applications of designs of experiments in biological research.

You may also like: Experimental Designs Notes | Types of Experimental Designs – Notes

You may also like: Biostatistics Notes | Biostatistics PPT | Biostatistics MCQs |

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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. The assumption used in ANOVA is

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

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

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

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

6. Analysis of variance is used to test

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

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

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

10. Analysis of variance

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

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

13. In ANOVA we use

14. A Mean Square is

15. 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)?

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. 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

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

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

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

Online MCQs on Experimental Design

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

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Multiple choice questions on design of experiments

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For an independent-measures experiment comparing two treatment conditions with a sample of n = 10 in each treatment, the F-ratio would have df equal to __________.

A researcher reports an F-ratio with df = 3, 36 for an independent-measures experiment. How many treatment conditions were compared in this experiment?

A research report concludes that there are significant differences among treatments, with "F(2,27) = 8.62, p < .01." How many treatment conditions were compared in this study?

A research study compares three treatments with n = 5 in each treatment. If the SS values for the three treatments are 25, 20, and 15, then the analysis of variance would produce SS within equal to __________.

cannot be determined from the information given

In the F-ratio for a repeated-measures ANOVA, variability due to individual differences __________.

is automatically eliminated from the numerator but must be computed and subtracted out of the denominator

is automatically eliminated from the denominator but must be computed and subtracted out of the numerator

is automatically eliminated from both the numerator and the denominator

must be computed and subtracted out of the numerator and the denominator

A repeated-measures study uses a sample of n = 8 participants to evaluate the mean differences among three treatment conditions. In the analysis of variance for this study, what is the value for df total?

A repeated-measures analysis of variance with a sample of n = 8 participants, produces df within treatments = 14. What is the value for df error for this analysis?

cannot determine without additional information

Which of the following are sources of variability that contribute to SS between treatments in a repeated ANOVA?

treatment effect and chance/error

treatment effect and individual differences

treatment effect, individual differences, and chance/error

individual differences and chance/error

The results of a repeated-measures ANOVA are reported as follows, F(3, 27) = 1.12, p > .05. How many subjects participated in the study?

A two-factor study with two levels of factor A and three levels of factor B uses a separate sample of n = 5 participants in each treatment condition. How many participants are needed for the entire study?

The results of a two-factor analysis of variance produce df = 2, 24 for the F-ratio for fac-tor A. Based on this information, how many levels of factor A were compared in the study?

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Multiple type questions in the field of Design of Experiments

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Statistical Quality Control Questions and Answers – What is Experimental Design – 1

This set of Statistical Quality Control Multiple Choice Questions & Answers (MCQs) focuses on “What is Experimental Design – 1”.

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Multiple Choice Quiz


				allows you to look at more complex relationships than does the univariate strategy.
				provides a more powerful test of your hypotheses.
				allows you not to worry about meeting restrictive assumptions characteristic of univariate statistics.
				both a and b


				diriminant analysis.
				multiple regression.
				canonical correlation.
				all of the above
				both a and b only.


				affects the magnitude of the correlations calculated but not the slope of the regression line.
				affects the slope of the regression line but not the magnitude of the correlations calculated.
				affects both the slope of the regression line and the magnitude of the correlations calculated.
				is less of a problem for multivariate statistics than it is for bivariate or univariate statistics.


				convert raw scores to z scores and evaluate the degree of deviance of the z scores.
				conduct individual Pearson correlations on your data before conducting any multivariate test.
				do nothing; outliers do not significantly affect multivariate statistics.
				both a and b


				Heteroscedasticity
				Multicollinearity
				Reflecting
				Outlier bias


				Homoscedasticity
				An outlier
				Error of measurement
				Multicollinearity


				fairly large samples.
				small samples.
				less concern over meeting assumptions than do univariate tests.
				sampling from a population that is not normally distributed.


				discriminant function.
				factor loading.
				squared semipartial correlation.
				canonical function.


				converting raw scores to z scores prior to analysis.
				eliminating variables that have low correlations with other variables.
				applying a square root transformation to the raw data prior to analysis.
				statistically rotating factors.


				help infer causality from correlational data.
				extract as many factors as possible from your data prior to a factor analysis.
				experiment with different communality values after an exploratory factor analysis.
				determine the degree of contribution of a variable in a multiple regression analysis.


				Discriminant analysis
				Canonical correlation
				Partial correlation
				Factor analysis


				hierarchical regression.
				simple regression.
				stepwise regression.
				none of the above


				only three predictor variables can be entered at a time.
				it tends to be too sensitive to causal relationships among variables.
				it tends to capitalize on chance and may be limited to a particular sample.
				all of the above


				stepwise regression.
				canonical correlation.
				factor analysis.
				discriminant analysis.


				is a nonparametric statistic.
				works much like chi-square.
				can be used in place of ANOVA, MANOVA, or multiple regression where your data are categorical.
				all of the above


				stepwise regression.
				canonical correlation.
				factor analysis.
				discriminant analysis.


				allows you to circumvent some of the restrictive assumptions of the univariate within-subjects ANOVA.
				allows you to include more than two independent variables in your analysis.
				uses separate error terms to test effects rather than a pooled error term.
				none of the above


				canonical correlation.
				multiple t tests.
				path analysis.
				multiway frequency analysis.


				G².
				F.
				d.
				Chi-square.


				a unique statistical test, allowing you to evaluate multiple dependent variables in one test.
				an application of multiple regression to investigating causal relationships among variables.
				not used to investigate causal relationships, but is a multivariate statistic.
				an extension of the Pearson r to multivariate designs.

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Design of Experiments (DOE) Quiz Questions
This quiz will evaluate your understanding of factorial designs, response surface methodology, and the principles of creating efficient experiments. Each attempt at the quiz provides 10 random questions, offering a comprehensive review of DoE basics. Quiz is loading…. About Quality Gurus INC.
PDF Practice Exam for Design of Experiments
Design of Experiments Practice Exam Page 3 of 30 9. How many treatments would be required for a DOE with 10 factors where a full factorial design is chosen: • 64 • 128 • 256 • 512 • 1024 • 2048 10. How many treatments would be required for a DOE with 4 factors where a quarter factorial design is chosen: • 1 • 2 • 4
Design and Analysis of Experiments (DAE) Multiple Choice Questions (MCQ
Design and Analysis of Experiments (DAE) - MCQ : DAE MCQ - Set 1 : DAE MCQ - Set 2 : DAE MCQ - Set 3 : DAE MCQ - Set 4 : DAE MCQ - Set 5 : DAE MCQ - Set 6 ... Design and Analysis of Experiments (DAE) - Multiple Choice Questions (MCQ) - Set 1 1. We can use use ANOVA to test the equality of two or more means. A). TRUE B). FALSE C). Neither D).
Design and Analysis of Experiments (DAE) Multiple Choice Questions (MCQ
48. In a study, subjects are randomly assigned to one of three groups: control, experimental A, or experimental B. After treatment, the mean scores for the three groups are compared. The appropriate statistical test for comparing these means is: A). The correlation coefficient B). Chi square C). The t-test D). The analysis of variance View Answer
MCQ on Experimental Design
Put your skills to the test with our engaging MCQs and excel in the science of efficient experimentation. This MCQ on Experimental Design will help you to understand the basic principles and applications of designs of experiments in biological research. You may also like: Experimental Designs Notes | Types of Experimental Designs - Notes.
Chapter 1
tested by scientific experiment. Suppose you study how speed affects the braking distance of a car. Match each part of the hypothesis phase with its output. 1. Formulate the hypothesis - Braking distance grows proportionally with speed. 2. Choose a scope - We will focus on how braking distance depends on speed. 3.
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.
Assignment Lab 4: Applying the Scientific Method Pre-Lab
Make calculations based on the raw measurements. The results of an experiment are represented in tables, charts, or graphs and its hypothesis is discussed during the phase of the scientific method. conclusion. Which of the following phases are part of the four-phase model of the scientific method?
Experimental Design MCQ answers Flashcards
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Multiple Choice Quiz. Circle the alternative that best completes the stem of each question. both a single factor and a parametric factor. both within-subjects and between-subjects factors. both experimental and correlational factors. multiple independent and dependent variables. Circle the alternative that best completes the stem of each question.
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Design and Analysis of Experiments (DAE) - Multiple Choice Questions (MCQ) - Set 3 11. The most frequently used quasi-experimental design is the _____ design. A). Nonequivalent comparison-group B). Interrupted time-series C). Changing-criterion D). Regression discontinuity View Answer
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Prior to publishing the results of an experiment, _____. Multiple choice question. the results and analysis are synchronized with other experiments the media are invited to critically analyze the findings the results and analysis are peer-reviewed by other subject-matter experts the study sponsors have a chance to weigh in on the findings
Multiple choice questions on design of experiments
In the analysis of variance for this study, what is the value for df total? ... The solution gives detailed discussion on design of experiments: multiple independent variables and multiple levels of ... a. 5 b. 6 c. 7 d. 12 Answer: b. 6 degrees of freedom = (rows-1) x (columns-1) = 2 x 3 =6 Answers to 5 Multiple choice questions on one-way ...
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Design and Analysis of Experiments (DAE) - Multiple Choice Questions (MCQ) - Set 7 31. What is the difference between A-B-A design and A-B-A-B design? A). Both designs end on the treatment condition B). Neither design ends on a treatment condition C). Baseline conditions are only established in the A-B-A-B design D).
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Design and Analysis of Experiments (DAE) Multiple Choice Questions (MCQ
45. ANOVA and ANCOVA can include more than one independent variable and at least one of the independent variables must be categorical. A). TRUE. B). FALSE. View Answer. IT Developer conducts programs based on Microsoft .Net framework, Java, Photoshop, Flash, HTML, JavaScript, SAP, ABAP, e-procurement, Online Certification, Online Step by Step ...