Create 10 multiple choice questions for a practice exam. Content of questions mu

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Create 10 multiple choice questions for a practice exam. Content of questions mu

Create 10 multiple choice questions for a practice exam. Content of questions must be relative to the course modules and formatted as multiple choice with 4 possible responses (e.g., A-D). Correct answers must be indicated in bold font and the relevant task list items must be cited in the correct answer (e.g., C-1)
Example Question Format:
Which of the following opportunities exist for extra-credit points in this course?
1. Quizzes
2. Assignments
3. Exam
4. Creation of test questions
_________________________________________________________________
Task list.
Section 1: Foundations
C. Measurement, Data Display, and Interpretation
C-1 Create operational definitions of behavior.
C-2 Distinguish among direct, indirect, and product measures of behavior
C-3 Measure occurrence (e.g., count, frequency, rate, percentage)
C-4 Measure temporal dimensions of behavior (e.g., duration, latency, inter-response time)
C-5 Measure form and strength of behavior (e.g., topography, magnitude)
C-6 Measure trials to criterion
C-7 Design and implement sampling procedures (i.e., interval recording, time sampling)
C-8 Evaluate the validity and reliability of measurement procedures
C-9 Select a measurement system to obtain representative data given the dimensions of behavior and the logistics of observing and recording
C-10 Graph data to communicate relevant quantitative relations (e.g., equal-interval graphs, bar graphs, cumulative
C-11 Interpret graphed data
D. Experimental Design
D-1 Distinguish between dependent and independent variables
D-2 Distinguish between internal and external validity
D-3 Identify the defining features of single-subject experimental designs (e.g., individuals serve as their own controls, repeated measures, prediction, verification, replication)
D-4 Describe the advantages of single-subject experimental designs compared to group designs
D-5 Use single-subject experimental designs (e.g., reversal, multiple baseline, multielement, changing criterion)
D-6 Describe rationales for conducting comparative, component, and parametric analyses
D-7 Distinguish among reversal, multiple-baseline, multielement, and changing-criterion designs.
D-8 Identify rationales for conducting comparative, component, and parametric analyses.

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