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Welcome to the Evaluation Techniques MCQs Page

Dive deep into the fascinating world of Evaluation Techniques with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Evaluation Techniques, a crucial aspect of Human Computer Interaction. In this section, you will encounter a diverse range of MCQs that cover various aspects of Evaluation Techniques, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Human Computer Interaction.

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Check out the MCQs below to embark on an enriching journey through Evaluation Techniques. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Human Computer Interaction.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Evaluation Techniques. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Evaluation Techniques MCQs | Page 10 of 23

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Q91.
When might a contingency table be used in an experiment?

a.

When analyzing continuous variables that follow a normal distribution.

b.

When comparing different conditions of an experiment.

c.

When dealing with categorical data and discrete attributes.

d.

When measuring data using parametric tests.

Discuss
Answer: (c).When dealing with categorical data and discrete attributes. Explanation:A contingency table is used when classifying data by several discrete attributes and counting the number of data items with each attribute combination. It is often used when dealing with categorical or nominal data.
Q92.
Which type of analysis is used to provide a range of values within which a parameter is likely to fall?

a.

Point estimation

b.

Hypothesis testing

c.

Confidence interval estimation

d.

Variance analysis

Discuss
Answer: (c).Confidence interval estimation Explanation:Confidence interval estimation provides a range of values within which a parameter, such as a mean, is likely to fall with a specified level of confidence.
Q93.
What is the null hypothesis in an experiment?

a.

The hypothesis that predicts an outcome.

b.

The hypothesis that suggests there is a significant difference.

c.

The hypothesis that states there will be no difference between conditions.

d.

The hypothesis that describes the experimental procedure.

Discuss
Answer: (c).The hypothesis that states there will be no difference between conditions. Explanation:The null hypothesis in an experiment states that there will be no difference or effect between conditions being compared.
Q94.
What is the primary purpose of experimental design?

a.

To form hypotheses about the outcome of an experiment.

b.

To ensure that participants are representative of the population.

c.

To manipulate variables and control conditions for reliable results.

d.

To calculate statistical measures accurately.

Discuss
Answer: (c).To manipulate variables and control conditions for reliable results. Explanation:Experimental design involves planning how variables will be manipulated and controlled to ensure reliable and meaningful results.
Q95.
What is the main advantage of using naturalistic images for icons in an interface design experiment?

a.

They are more abstract and visually appealing.

b.

They are easier to create and modify.

c.

They are less familiar to users, promoting curiosity.

d.

They are more familiar to users, aiding recall.

Discuss
Answer: (d).They are more familiar to users, aiding recall. Explanation:Naturalistic images, being familiar to users, are likely to aid recall and recognition since they are based on familiar concepts.
Q96.
In the context of the icon design experiment, what are the dependent variables?

a.

The style of icons used (natural or abstract).

b.

The number of participants in the experiment.

c.

The time taken to create a document using the icons.

d.

The number of mistakes in icon selection and the time taken to select an icon.

Discuss
Answer: (d).The number of mistakes in icon selection and the time taken to select an icon. Explanation:The dependent variables in this experiment are the number of mistakes in icon selection and the time taken to select an icon. These variables measure the ease of remembering the icons.
Q97.
What does a within-subjects experimental design involve?

a.

Each participant performs under different conditions, and order of presentation is controlled.

b.

Each participant is assigned to a different experimental condition.

c.

Participants are observed in their natural work environment.

d.

Participants perform tasks in a laboratory setting.

Discuss
Answer: (a).Each participant performs under different conditions, and order of presentation is controlled. Explanation:In a within-subjects (repeated measures) experimental design, each participant performs under different conditions, and the order of presentation of these conditions is controlled to minimize learning effects.
Q98.
What is the advantage of using a within-subjects experimental design in the icon design experiment?

a.

It allows for a controlled environment with no variations in learning.

b.

It reduces the number of participants required for the experiment.

c.

It ensures that participants are representative of the user population.

d.

It simplifies the process of statistical analysis.

Discuss
Answer: (b).It reduces the number of participants required for the experiment. Explanation:One advantage of a within-subjects design is that it requires fewer participants compared to a between-subjects design, making the experiment more cost-effective.
Q99.
What is the purpose of providing participants with a fixed amount of time to learn the icon meanings before the selection task?

a.

To assess participants' general cognitive abilities.

b.

To observe how participants naturally interact with the icons.

c.

To control for variations in learning speed between participants.

d.

To compare the effectiveness of naturalistic and abstract icons.

Discuss
Answer: (c).To control for variations in learning speed between participants. Explanation:Providing participants with a fixed amount of time to learn the icon meanings before the selection task helps control for variations in learning speed between participants, ensuring that learning differences do not confound the results.
Q100.
Which factor does the independent variable represent in the icon design experiment?

a.

The number of mistakes in icon selection.

b.

The time taken to select an icon.

c.

The familiarity of participants with the interface.

d.

The style of icon design (natural or abstract).

Discuss
Answer: (d).The style of icon design (natural or abstract). Explanation:The independent variable in the icon design experiment is the style of icon design, with two levels: natural and abstract.
Page 10 of 23

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