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Results

#1. A BCBA is conducting a behavior assessment and has collected data using a scatter plot for a specific target behavior. The scatter plot uses ‘X’ to denote an occurrence of the behavior and ‘0’ for no occurrence, across different hours of the day over a week. The collected data for various time slots indicated 8 AM (1 occurrence), 9 AM (1 occurrence), 10 AM (3 occurrences), 11 AM (3 occurrences), 12 PM (4 occurrences), 1 PM (1 occurrence), and 2 PM (1 occurrence). Based on a visual analysis of this scatter plot, when should the BCBA schedule direct observation periods to maximize the likelihood of observing the target behavior?

Between 8 AM and 9 AM.

Between 10 AM and 11 AM.

Between 10 AM and 12 PM.

Between 1 PM and 2 PM.

The text provides a direct analysis of the scatter plot data to determine the optimal observation period So if we want to schedule our observation to see the behavior occurring when should you schedule it Well when the behavior is happening the most 10 am 3 11 am 3 12 pm 4 to try to get the best data and try to catch the behavior as its happening By visually analyzing the number of occurrences the period from 10 AM to 12 PM inclusive shows the highest frequency of the target behavior 3 3 and 4 occurrences respectively Scheduling observations during these peak times increases the probability of capturing instances of the behavior which is crucial for comprehensive assessment and functional analysis The other options represent periods with significantly lower or equally low rates of occurrence

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