Welcome to the Basic Research Statistics MCQs page on MCQss.com. This page is dedicated to providing you with a collection of interactive multiple-choice questions that will test your understanding of basic research statistics. Each question is designed to assess your knowledge and provide immediate feedback.
Basic research statistics play a vital role in the field of research methodology. They enable researchers to collect, analyze, and interpret data effectively, making informed conclusions and decisions based on statistical evidence. Proficiency in basic research statistics is essential for conducting reliable and valid research studies.
To excel in basic research statistics, it is important to have a solid foundation in statistical concepts, data analysis techniques, and research methodology. Understanding topics such as descriptive statistics, probability, hypothesis testing, correlation, and regression is crucial for conducting sound research.
MCQss.com's Basic Research Statistics MCQs are designed to help you enhance your knowledge and understanding of fundamental research statistical concepts. By practicing these MCQs, you can assess your comprehension, identify areas for improvement, and gain confidence in your ability to apply statistical principles in research.
Regularly practicing Basic Research Statistics MCQs will not only prepare you for exams and assignments but also strengthen your analytical thinking and data analysis skills. These MCQs serve as a valuable tool for self-assessment, practice, and increasing your proficiency in basic research statistics.
By utilizing Basic Research Statistics MCQs, you can sharpen your statistical reasoning, enhance your research methodology skills, and become better equipped to tackle research projects and data analysis tasks.
A. Data
B. Analysis
C. Cases
D. None of these
A. Data
B. Analysis
C. Cases
D. None of these
A. A characteristic that varies across cases. For example, humans differ on variables such as blood pressure, height, and age.
B. Participants or respondents. However, the old use of subject or S to refer to people in studies
C. A variable with scores that identify group membership. These scores serve merely as labels and convey no information
D. None of these
A. Cases
B. Persons
C. Both a & b
D. None of these
A. Person
B. Animal
C. Both a & b
D. None of these
A. True
B. False
A. True
B. False
A. Quantity
B. Amount
C. Both a & b
D. None of these
A. Data
B. Information
C. Forms
D. None of these
A. Vertical
B. Horizontally
C. Linear
D. None of these
A. A rating scale is often called a Likert scale; the original format proposed by Likert involved rating degree of agreement on a five-point scale.
B. We can evaluate whether variables X and Y are statistically related by doing an appropriate statistical analysis
C. The order of events in time. If X1 happens before Y, or if X1 is measured or observed before Y,
D. None of these
A. True
B. False
A. Temporal Precedence
B. Rival Explanatory Variables
C. Confounds or Confounded Variables
D. ALL of these
A. True
B. False
A. True
B. False
A. Control
B. Experimental
C. Statistical
D. None of these
A. True
B. False
A. Internal Validity
B. Statistical Control
C. Experimental Controls
D. None of these
A. Internal Validity
B. Statistical Control
C. Experimental Controls
D. None of these
A. Internal Validity
B. Statistical Control
C. Experimental Controls
D. Confounded
A. Internal Validity
B. Statistical Control
C. Research Designs
D. Confounded
A. Dependent variables
B. Independent variables
C. Both a & b
D. None of these
A. True
B. False
A. Random Sampling of Participants from a Population
B. Random Assignment of Participants to Groups or Conditions
C. Experimental Control Cover Other Situational Factors
D. Nonexperimental Research Design
A. Random Sampling of Participants from a Population
B. Random Assignment of Participants to Groups or Conditions
C. Experimental Control Cover Other Situational Factors
D. Nonexperimental Research Design
A. Safety
B. Interoperability
C. Compatibility
D. All of these
A. Random Sampling of Participants from a Population
B. Random Assignment of Participants to Groups or Conditions
C. Experimental Control Cover Other Situational Factors
D. Nonexperimental Research Design
A. Correlational Study
B. Unlucky Randomization
C. Experimental Control Cover Other Situational Factors
D. Nonexperimental Research Design
A. Correlational Study
B. Unlucky Randomization
C. Experimental Control Cover Other Situational Factors
D. Nonexperimental Research Design
A. Correlational Study
B. Nonexperimental study.
C. Both a & b
D. None of these
A. True
B. False
A. Random Sampling of Participants from a Population
B. Quasi-Experimental Research Designs
C. Experimental Control Cover Other Situational Factors
D. Nonexperimental Research Design
A. Random Sampling of Participants from a Population
B. Quasi-Experimental Research Designs
C. Nonequivalent Control Group
D. Nonexperimental Research Design
A. External Validity
B. Between-S
C. Representative Sample
D. All of these
A. External Validity
B. Between-S
C. Representative Sample
D. All of these
A. True
B. False
A. Subset
B. SET
C. Both a & b
D. None of these
A. External Validity
B. Between-S
C. Representative Sample
D. All of these
A. External Validity
B. Between-S
C. Representative Sample
D. All of these
A. True
B. False
A. Imaginary Population
B. Accidental Sample
C. Proximal Similarity
D. Hypothetical
A. True
B. False
A. Hypothetical
B. Imaginary Population
C. Proximal Similarity
D. Both a & b
A. True
B. False