Give examples of count (area of opportunity) attribute data. Explain why each example is area of opportunity attribute data. Answer: Examples of count attribute data: number of union grievances per…

Question

Options

• AExamples of count attribute data: number of union grievances per week, number of type errors in a page, number of chocolate chips in a cookie. Each example is count attribute data because it is from counts of the number of occurrences per unit.

• A
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Explanation

Option A is correct because all three examples represent counts of discrete occurrences within a defined unit of opportunity - a week, a page, and a cookie, respectively. This distinguishes count (area of opportunity) data from binary attribute data, which only records whether a unit is defective or not (pass/fail); count data can yield multiple occurrences per unit, meaning a single cookie could have 5 chips or 50. The "area of opportunity" framing matters because each unit provides a bounded space in which events can accumulate - you're not asking "is the cookie good?" but "how many chips does it contain?"

Since this question presents only one option, there are no distractors to refute; the task is purely definitional recognition.

Memory tip: Think of count attribute data as answering the question "How many ____ per ____?" - the first blank is the event, the second is the unit. If your answer is a whole number that can keep growing (grievances per week, chips per cookie), it's count attribute data. If your answer is just yes/no, it's binary attribute data instead.

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