Given that the executive claims her employees spend less than 2.5 hours each week in meetings, the hypotheses can be structured as follows:

• The null hypothesis (Ho) is a statement of no effect or the status quo, which would assume that employees spend exactly 2.5 hours in meetings.
• The alternative hypothesis (Ha) is what the executive is trying to prove, which is that employees spend less than 2.5 hours in meetings.

Thus, the correct pair of hypotheses is:

Ho: μ = 2.5, Ha: μ < 2.5

This corresponds to the third option:

• Ho: μ = 2.5, Ha: μ < 2.5

Would you like more details or have any questions?

Here are 5 related questions to consider:

1. What are the steps to conduct a hypothesis test for this claim?
2. What type of statistical test would be appropriate for these hypotheses?
3. How does one determine the critical value for a one-tailed test?
4. What does it mean if the null hypothesis is rejected?
5. How could you estimate the population mean time employees spend in meetings from a sample?

Tip: When framing hypotheses, always ensure that the null hypothesis represents the statement being tested, while the alternative hypothesis represents the claim or effect you wish to investigate.