Question at position 1 From the following options, which one qualifies as information in the given context?Scenario: A store tracks the number of daily customers. The average number of customers per day for the past weekThe number of employees working per shiftThe store's locationThe store's opening hours

Question

Question at position 1  From the following options, which one qualifies as information in the given context?Scenario: A store tracks the number of daily customers. The average number of customers per day for the past weekThe number of employees working per shiftThe store's locationThe store's opening hours

BlackTom AI · Accepted Answer

Question restatement: The scenario involves a store that tracks various data points, and you are asked to identify which item qualifies as information in that context. Answer options are:
1) The average number of customers per day for the past week
2) The number of employees working per shift
3) The store's location
4) The store's opening hours

Now, let's analyze each option:
Option 1: The average number of customers per day for the past week. This is a derived metric: it takes the raw data of daily customer counts and computes an average over a time period. In most information-processing contexts, an average (summary statistic) is considered information because it conveys a summarized, meaningful insight from data. Therefore, this option correctly represents information in the given context.
Option 2: The number of employees working per shift. This is also data that could be collected. However, whether it qualifies as information depends on whether it has been processed or interpreted to convey meaning. If it’s just a raw count without context or purpose, it is data rather than information. In the scenario, the question focuses on information in the context of tracking, and simply listing the number of employees per shift is less about summarizing or providing insight than about raw staffing data.
Option 3: The store's location. This is a fixed attribute or a piece of static data about the store. It is information in the sense that it describes a property, but in the specific context of “tracking daily customers,” it does not illuminate patterns, trends, or summaries about customer activity. It’s more of a descriptor than an analyzed insight.
Option 4: The store's opening hours. Similar to the store’s location, opening hours are static or policy-related data. On their own, they don’t summarize customer activity or provide an analytical insight about customers; they describe a parameter of operation rather than an informational output about customers.

In summary, option 1 stands out as information because it provides a summarized insight about customer activity over time, whereas options 2, 3, and 4 are raw data points or descriptive attributes that require further processing to become insightful information in this context.

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