From the graphical display you mentioned, it seems like we can infer multiple statistical investigative questions. Here are the questions and how they can be answered:
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What percentage of customers is over 21?
- Answer: 60 percent.
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How many people visit the food truck daily?
- Answer: 25 people.
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What percentage of customers is male?
- Answer: 60 percent.
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How many people visit the food truck on Tuesday?
- Answer: 35 people.
Inference:
A significant question that could be inferred from the data is "What demographic patterns can be observed among the customers of the food truck?"
How to Answer:
To answer this broader question, one could analyze the provided statistics. For instance:
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Compare the percentage of customers who are over 21 (60%) with the percentage of male customers (also 60%). This may suggest a potentially homogeneous demographic or a balanced customer base in terms of age and gender.
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Assess the daily foot traffic, noting that an average of approximately 25 people visit the food truck daily, which helps in understanding the food truck's reach and popularity.
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Consider the aforementioned data along with the foot traffic on specific days, like Tuesday (35 people), to determine if certain days are busier, which could prompt further investigation into factors influencing customer visits, such as promotions or events.
In summary, the overall investigative question relates to understanding customer demographics and the patterns of how many people frequent the food truck, with an emphasis on daily variations and demographic insights.