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A company surveyed its managers and employees to determine how important flexibility is to them and whether they use any of the company's flexible offerings themselves.
Based on the information provided, select from each drop-down menu the option that creates the most accurate statement.
| Text Component | Literal Content | Simple Interpretation |
|---|---|---|
| Survey Purpose | A company surveyed its managers and employees to determine how important flexibility is to them and whether they use any of the company's flexible offerings themselves | The company wants to know how much employees value flexibility and how often they use flexible work options |
| Survey Participants | Managers and employees | The study includes both job leaders and regular staff |
| Focus of Survey | Importance of flexibility, actual use of flexible options | Looks at both what people say and what they do regarding flexibility |
| Chart Component | What's Shown | What This Tells Us |
|---|---|---|
| Chart Type | Grouped bar chart; 4 groups of bars each with categories for manager, salaried, hourly | Enables comparison across job types and flexibility metrics |
| X-axis Categories | 'say flexibility is important', 'use change of schedule', 'use time off scheduling', 'telecommute' | One measures attitude, three measure actual behavior |
| Y-axis | Percentage of employees (0-100%) | All values are comparable as percentages |
| Color Coding/Grouping | Black (manager), cyan (salaried), gray (hourly) | Shows differences by job type |
| Bar Height Patterns | Importance rates high (\(\mathrm{89-93\%}\)) for all; actual use lower and varies by flexibility type | Reveals gap between perceived importance and actual usage of each flexibility type |
_____ are the group most likely to change their schedule.
_____ are the group least likely to telecommute and the group least likely to work a part-time schedule.
For both blanks, 'Managers' is the correct answer. They are most likely to change their schedule (\(\mathrm{82\%}\)) but least likely to telecommute (\(\mathrm{21\%}\)) and least likely to use part-time (time off) scheduling (\(\mathrm{6\%}\)), according to the data.
The two questions are independent; answering one does not affect the other since they ask about different flexibility practices (changing schedule vs. telecommuting/part-time).