introduction to experimental design quiz (mcqs)

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 |

<<< Back to Statistics MCQ Page

MCQ on Applications of Statistics in Research
MCQ on t Test
MCQ on z Test and its Applications
MCQ on ANOVA (Analysis of Variance)
MCQ on Coefficient of Variation

Please send question in statistics department related to exit exam

Privacy Overview

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Learn Quality Management

SITE-WIDE SALE IS LIVE NOW.

CLICK HERE.

introduction to experimental design quiz (mcqs)

ASQ® CQA Exam
ASQ® CQE Exam
ASQ® CSQP Exam
ASQ® CSSYB Exam
ASQ® CSSGB Exam
ASQ® CSSBB Exam
ASQ® CMQ/OE Exam
ASQ® CQT Exam
ASQ® CQPA Exam
ASQ® CQIA Exam
7 Quality Tools
Quality Gurus
ISO 9001:2015
Quality Cost
Six Sigma Basics
Risk Management
Lean Manufacturing
Design of Experiments
Quality Acronyms
Quality Awareness
Quality Circles
Acceptance Sampling
Measurement System
APQP + PPAP
GD&T Symbols
Project Quality (PMP)
Full List of Quizzes >>
Reliability Engineering
Statistics with Excel
Statistics with Minitab
Multiple Regression
Quality Function Deployment
Benchmarking
Statistical Process Control
Quality Talks >> New
Six Sigma White Belt
Six Sigma Yellow Belt
Six Sigma Green Belt
Six Sigma Black Belt
Minitab 17 for Six Sigma
Casio fx-991MS Calculator
CSSYB/LSSYB Mock Exam
CSSGB/LSSGB Mock Exam
CSSBB/LSSBB Mock Exam
ASQ® CQA Preparation
ASQ® CQE Preparation
ASQ® CQPA Preparation
ASQ® CQIA Preparation
CQE Mock Exams
CMQ/OE Mock Exams
CQA Mock Exams
CQIA Mock Exams
CQPA Mock Exam
CQT Mock Exam
CQI Mock Exam
CSQP Mock Exam
Design of Experiments (DoE)
Measurement System Analysis
Statistics Using R
Data Visualization with R
Statistics Using Python
Data Visualization with Python
Regression with Minitab
Logistic Regression
Data Analysis Using Excel
The Git Mindset
Statistics Quiz
Root Cause Analysis
Kano Analysis
Lean Management
QMS Lead Auditor
Quality Management
ISO 9001:2015 Transition
Project Quality Manager
गुणवत्ता.org
Summary Sheets
Practice Tests
QG Hall of Fame
Testimonials – ASQ Exams Preparation

CQE , Six Sigma

Design of Experiments (DOE) Quiz Questions

** Unlock Your Full Potential **

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.

Each attempt at the quiz provides 10 random questions, offering a comprehensive review of DoE basics.

Quiz Summary

0 of 10 Questions completed

Information

You have already completed the quiz before. Hence you can not start it again.

Quiz is loading…

You must sign in or sign up to start the quiz.

You must first complete the following:

Quiz complete. Results are being recorded.

0 of 10 Questions answered correctly

Time has elapsed

You have reached 0 of 0 point(s), ( 0 )

Earned Point(s): 0 of 0 , ( 0 ) 0 Essay(s) Pending (Possible Point(s): 0 )

Design of Experiments Training

◉ $85 course on sale today!

◉ Basics, Plackett-Burman, Full/Fractional Factorial , Response Surface (CCD) Designs

◉ 5+ hours of videos, slides, and quizzes

Union and Intersection in Probability

December 28, 2022

Three Parameters Weibull Distribution

December 16, 2022

Why Sampling?

49 Courses on SALE!

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.


				nested design.
				quasi-experimental design.
				mixed design.
				design combining correlational and experimental components.


				you must economize on research participants.
				a within-subjects design becomes impractical.
				you want to statistically control the effects of a variable on which participants vary.
				both a and b


				quasi-independent variable.
				quasi-experimental variable.
				covariate.
				pseudoexperimental variable.


				allows you to assess the generality of your findings across the levels of the quasi-independent variable.
				makes it more difficult to misinterpret your results.
				allows you to infer a causal relationship between your quasi-independent variable and dependent variable.
				totally eliminates confounding variables from your design.


				it adds complexity to an experiment.
				results are often misinterpreted.
				it is difficult to quantify quasi-independent variables.
				adding a quasi-independent variable adds potential confounding variables to an experiment.


				nonequivalent time samples design
				time series design
				pretest—posttest design
				none of the above


				a true independent variable created by the experimenter.
				limited to participant variables such as age and sex.
				statistically controlled to remove its effects on the dependent variable.
				often a naturally occurring event and therefore not a true independent variable.


				equivalent control groups design.
				multiple time series design.
				equivalent time samples design.
				nonequivalent control group design.


				they allow you to evaluate the impact of a quasi-independent variable under naturally occurring conditions.
				you can statistically control extraneous variables to clarify the relationship between a true independent variable and the dependent variable.
				you have a high degree of control over the variables that control behavior.
				both a and b
				all of the above


				you can never establish causal relationships.
				when you are using naturally occurring events, you have little or no control over when the event will occur.
				you cannot control participant characteristics such as age and gender.
				both a and c
				all of the above


				a covariate is included
				a control group is included that is not exposed to the treatment to which the experimental group is exposed.
				only one observation is made before introducing the independent variable.
				none of the above


				test a participant’s ability to perform on multiple tests.
				make sure a research procedure works (by pretesting it) before actually conducting a study.
				evaluate performance only in classroom situations.
				evaluate the effects of some change in the environment on subsequent performance.


				quasi-experimental designs are more powerful than pretest—posttest designs.
				it is not possible to establish causal relationships in a pretest—posttest design, whereas it is possible in a quasi-experimental design.
				the pretest—posttest design is a true experimental design resembling a within-subjects design.
				you have less control over extraneous variables with the pretest—posttest design than with the quasi-experimental design.

Circle the alternative that best complete the stem of each question.


				the possible effects of the pretest itself on subsequent performance.
				the validity of the dependent variable.
				the effect of the posttest on subsequent performance.
				the range of the independent variable.


				nonequivalent control group design.
				Solomon four-group design.
				Latin square design.
				multiple pretest design.


				cross-sectional
				longitudinal
				cohort-generational
				cohort-sequential


				subject mortality
				a cross-generation problem
				a generation effect
				a multiple testing effect


				cross-sectional
				quasi-developmental
				experimental-developmental
				longitudinal


				the cross-sectional design
				the longitudinal design
				the cohort-sequential design
				all of the above


				test for the presence of generation effects.
				eliminate generation effects.
				reduce multiple testing effects.
				draw causal inferences from a developmental design

To learn more about the book this website supports, please visit its .

and .
is one of the many fine businesses of .

You must be a registered user to view the in this website. If you already have a username and password, enter it below. If your textbook came with a card and this is your first visit to this site, you can to register, or .
Username:
Password:

'); document.write(''); } // -->

( )
.'); } else{ document.write('This form changes settings for this website only.'); } //-->
		Send mail as:
		'); } else { document.write(' '); } } else { document.write(' '); } // -->
	'); } else { document.write(' '); } } else { document.write(' '); } document.write('
TA email:		'); } else { document.write(' '); } } else { document.write(' '); } // -->
Other email:		'); } else { document.write(' '); } } else { document.write(' '); } // -->

"Floating" navigation?	'); } else if (floatNav == 2) { document.write(' '); } else { document.write(' '); } // -->
Drawer speed:	'; theseOptions += (glideSpeed == 1) ? ' ' : ' ' ; theseOptions += (glideSpeed == 2) ? ' ' : ' ' ; theseOptions += (glideSpeed == 3) ? ' ' : ' ' ; theseOptions += (glideSpeed == 4) ? ' ' : ' ' ; theseOptions += (glideSpeed == 5) ? ' ' : ' ' ; theseOptions += (glideSpeed == 6) ? ' ' : ' ' ; document.write(theseOptions); // -->




1.	(optional) Enter a note here:
2.	(optional) Select some text on the page (or do this before you open the "Notes" drawer).
3.	Highlighter Color:
4.

Search for:
Search in:


Course-wide Content

	Quizzes

	More Resources


Instructor Resources


	Course-wide Content

Request new password
Create a new account

Research Methods and Statistics in Psychology

Student resources, multiple choice questions.

Revise your knowledge with these multiple choice quiz questions.

Chapter 2: Research in Psychology: Objectives and Ideals

Chapter 3: Research Methods

Chapter 4: Experimental Design

Chapter 5: Survey Design

Chapter 6: Descriptive Statistics

Chapter 7: Some Principles of Statistical Inference

Chapter 8: Examining Differences between Means: The t -test

Chapter 9: Examining Relationships between Variables: Correlation

Chapter 10: Comparing Two or More Means by Analysing Variances: ANOVA

Chapter 11: Analysing Other Forms of Data: Chi-square and Distribution-free Tests

Chapter 12: Classical Qualitative Methods

Chapter 13: Contextual Qualitative Methods

Chapter 14: Research Ethics

Chapter 15: Conclusion: Managing Uncertainty in Psychological Research

Statistics for Data Analyst

Statistics MCQs, Analysis, Software

Important MCQs on Experimental Design1

The post contains MCQs on experimental design (DOE). Let us start with Online MCQs on Experimental Design.

MCQs about Designs of Experiment

1. In ANOVA we use

2. Analysis of variance

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

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

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

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

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

8. 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

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

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

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

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

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

14. 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

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

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

17. Analysis of variance is used to test

18. The assumption used in ANOVA is

19. 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)?

20. A Mean Square is

Experimental design is the roadmap for conducting a controlled experiment. It’s like a blueprint that ensures to collect reliable data to test the hypothesis of the study.

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

Computer MCQs

Learn R Programming

Discover more from Statistics for Data Analyst

Subscribe now to keep reading and get access to the full archive.

Type your email…

Have an account?

Experimental design, types, and sampling...

11th - 12th grade, experimental design, types, and sampling - psychology.

12 questions

Introducing new Paper mode

No student devices needed. Know more

What is independent groups design?

Two separate groups of participants experience two different conditions of the experiment.

All participants experience both conditions of the experiment - the experimental condition and the control condition.

Participants are paired together based upon a variable/variables relevant to the experiment.

What is repeated measures design?

What is matched pairs design?

An attempt to control the effects of order in a repeated measures design: half the participants experience the conditions in one order, and the other half in the opposite order.

Order effects

Counterbalancing

Characteristics of individual participants (e.g. age, intelligence, etc.) that might influence the outcome of a study.

Investigator bias

Extraneous variables

Investigator effects

Participant variables

The entire group a researcher is interested in or the group about which the researcher wishes to draw conclusions. Usually researchers apply the conclusions to a wider population and then questions are asked about generalizability.

Sampling units

Target population

Sampling frame

Bias is when certain groups may be over or under-represented within the sample selected

What is a random sample?

All members of the target population have an equal chance of being selected.

Every nth member of a target population is selected to be in a sample.

The composition of the sample reflects the proportions of people in certain sub-groups (strata) within the target population / wider population.

The researcher selects anyone who happens to be willing and available at the time of their study

Involves participants selecting themselves to be a part of the sample.

What is a systematic sample?

What is a stratified sample?

What is a opportunity sample?

What is a volunteer sample?

Explore all questions with a free account

Continue with email

Continue with phone

AP STATS Experimental Design Quiz

introduction to experimental design Flashcards
2/3 criteria for true-experimental not included in study design (randomization, manipulation, control) -level 1 or 2 questions. 1. (types of pre-experimental design) one-shot case study =. -dependent variable measured in only __ group. comparison. (types of pre-experimental design) static group comparison =. -one-shot case study and ______ group.
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.
Introduction to Experimental Design
Test: Introduction to Experimental Design - practice test. Name: Score: 15 Multiple choice questions. Term. What is the difference between deductive and inductive reasoning? A parameter is a numerical property of the population, while a statistic is a numerical property of the sample.
Introduction to Experimental Design Flashcards
material list should be thorough and specific, procedure needs to be sequential, detailed, and illustrations. details. record all data in tables; before you record data, create a chart or a graph, illustrate numerical data in graph after data is collected. quantitative. numbers, time, temperature, length, mass (use measurements) qualitative data.
Quiz
a. Familiarize yourself with what the different test statistics actually test for and then select the one that is best related to your experimental design and data collected. b. Check the limitations and assumptions associated with the usage of the statistical method as it relates to your data. c.
Quiz
a. We can count on the integrity and strong sense of conscience of most scientists. b. Data entered into the computer is analyzed by the computer ( most times) and if you enter data that was wrongly collected due to a poor experimental design then the analysis will be faulty. c. Attempts are made to identify known or expected sources of ...
Part 3: Quiz Questions
Components of an Experiment/ Terminology Experimental Design (I) Terminology Experimental Design (II) Main Principles of experimental design: the 3 "R's". Experimental studies. An experiment with insecticides. Randomization using GenStat. From the field to the data file. PART 2: STATISTICAL MODEL AND ANALYSIS. PART 2 Analysis of Variance.
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…. Design of Experiments Quiz: Explore the fundamental concepts of Design of ...
PDF Topic 1: INTRODUCTION TO PRINCIPLES OF EXPERIMENTAL DESIGN
Figure 2. Example of the process of research. A designed experiment must satisfy all requirements of the objectives of a study but is also subject to the limitations of available resources. Below we will give examples of how the objective and hypothesis of a study influences the design of an experiment. 1.
Experimental Design MCQ answers Flashcards
a) The box indicates the standard deviation of the data. b) The box indicates the 95% confidence limits of the data. c) The box indicates the interquartile range of the data. d) The plots can indicate the frequency distribution of the data. e) The plots assume that the data are normally distributed. c) The box indicates the interquartile range ...
Multiple Choice Quiz
In an experiment on learning, you have three levels of word list difficulty. Under each level of difficulty, you have two different lists of words. The design being used here is a: A) nested design. B) quasi-experimental design. C) mixed design. D) design combining correlational and experimental components.
Multiple Choice Questions
Revise your knowledge with these multiple choice quiz questions. Chapter 2: Research in Psychology: Objectives and Ideals. Chapter 3: Research Methods. Chapter 4: Experimental Design. Chapter 5: Survey Design. Chapter 6: Descriptive Statistics. Chapter 7: Some Principles of Statistical Inference. Chapter 8: Examining Differences between Means ...
experimental design
experimental design. 1. Multiple Choice. This part of the experiment serves as a basis of comparison; the one variable being tested has been omitted (left out). 2. Multiple Choice. When one examines the entire population instead of a subgroup of the population, this is called a ____________. 3.
Important MCQs on Experimental Design1
Experimental design is the roadmap for conducting a controlled experiment. It's like a blueprint that ensures to collect reliable data to test the hypothesis of the study. MCQs on Experimental Design. Analysis of variance is used to test; The assumption used in ANOVA is; In ANOVA we use
Experimental Design Quiz
1. Multiple Choice. What is the definition of the independent variable? 2. Multiple Choice. What is the part of the experiment that stays the same? 3. Multiple Choice. What is the definition of the dependent variable?
Quiz
Quiz. Question. There are conditions also known as 'limitations and assumptions' for using the ANOVA. Before deciding to use an ANOVA to analyze your data you start by plotting your data points onto a graph and you find out that your frequency curve or histogram is skewed to the left or right. Which condition has not been met for you to use ...
Experimental Design & Research MCQs Flashcards
1. The null hypothesis is incorrectly accepted when it is false . 2. The null hypothesis is incorrectly rejected when it is true. 3. the sample mean. differs from the population mean. 4. the test is biased. 8. Which of the following sections contribute to the exposure that your research will receive after publication:
AP Statistics
3 minutes. 1 pt. A controlled study in which the researcher attempts to understand cause-and-effect relationships by assigning subjects to groups and deciding which treatments each group receives. survey. observational study. experiment.
AP Stat Experimental Design Test Flashcards
Type of block design; match up experimental units according to similar characteristics and randomly assign on one treatment and the other automatically gets the second treatment Sampling methods 1.
Experimental Research MCQ Quiz
Get Experimental Research Multiple Choice Questions (MCQ Quiz) with answers and detailed solutions. Download these Free Experimental Research MCQ Quiz Pdf and prepare for your upcoming exams Like Banking, SSC, Railway, UPSC, State PSC.
Experimental design, types, and sampling
1 pt. What is repeated measures design? Two separate groups of participants experience two different conditions of the experiment. All participants experience both conditions of the experiment - the experimental condition and the control condition. Participants are paired together based upon a variable/variables relevant to the experiment.
MCQs Unit 1 Introduction To Research
MCQs Unit 1 Introduction to Research - Free download as PDF File (.pdf), Text File (.txt) or read online for free. This document provides a multiple choice quiz with answers on research methods. It covers topics like the definition of research, qualities of researchers, research design, sampling methods, quantitative vs qualitative research, variables, and experimental vs non-experimental ...
AP STATS Experimental Design Quiz Flashcards
experimental design steps. 1. choose treatments (identify factors and levels, create a control group) 2. assign the experimental units to the treatments (randomization, matching - similar units in each group) principles of experimental design. - CONTROL the effects of lurking variables by comparing several treatments (include a control group if ...

introduction to experimental design quiz (mcqs)

Research Methods and Statistics in Psychology

Important MCQs on Experimental Design1

MCQs on Experimental Design

Share this:

Leave a Comment Cancel reply

Discover more from Statistics for Data Analyst

Experimental design, types, and sampling...

Introducing new Paper mode

AP STATS Experimental Design Quiz

Students also viewed

IMAGES

VIDEO

COMMENTS

MCQ on Experimental Design

Related posts:

Leave a Reply Cancel reply

Privacy Overview

Quiz Summary

Information

Design of Experiments Training

Union and Intersection in Probability

Three Parameters Weibull Distribution

Why Sampling?

Research Methods and Statistics in Psychology

Important MCQs on Experimental Design1

MCQs on Experimental Design

Share this:

Leave a Comment Cancel reply

Discover more from Statistics for Data Analyst

Experimental design, types, and sampling...

Introducing new Paper mode

AP STATS Experimental Design Quiz

Students also viewed

IMAGES

VIDEO

COMMENTS