For a business class project, Luz observed employees at a nearby workplace that had flexible hours and provided coffee and tea. She recorded whether each employee started before or after 9 am

Question

and whether they drank coffee, tea, or neither.

How many employees did Luz observe, and which beverage preference had the highest percentage of people starting work after 9 am?

(1 point)
Responses

46; employees who drank coffee were most likely to start after 9 am.
46; employees who drank coffee were most likely to start after 9 am.

65; employees who drank neither coffee nor tea were most likely to start after 9 am.
65; employees who drank neither coffee nor tea were most likely to start after 9 am.

111; employees who drank neither coffee nor tea were mostly likely to start after 9 am.
111; employees who drank neither coffee nor tea were mostly likely to start after 9 am.

111; employees who drank coffee were most likely to start after 9 am.
111; employees who drank coffee were most likely to start after 9 am.
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Answer 1

To answer the question, we need to determine how many employees Luz observed and which beverage preference had the highest percentage of people starting work after 9 am based on her observations.

While the text refers to various potential answers with different employee counts and beverage preferences, it does not provide the actual observations or data needed to draw a conclusion.

Given that, if you need a definitive answer, we can analyze provided options:

1. 46; employees who drank coffee were most likely to start after 9 am.
2. 65; employees who drank neither coffee nor tea were most likely to start after 9 am.
3. 111; employees who drank neither coffee nor tea were mostly likely to start after 9 am.
4. 111; employees who drank coffee were most likely to start after 9 am.

Without the actual data that Luz collected during her observation, it is impossible to determine the accurate count or the beverage preference with the highest percentage of later starters.

You should refer to the data Luz gathered to identify the correct answer from the options provided. If you have access to the data or results of her observations, you could perform an analysis to find the number of employees observed and the beverage preference associated with starting work after 9 am.