This is a hypothesis testing question where you need to classify the type of test based on the alternate hypothesis ($H_1$).

Explanation:

1. Null Hypothesis ($H_0$): $\mu = 25$
   This states that the population mean is 25.

2. Alternate Hypothesis ($H_1$): $\mu < 25$
   This states that the population mean is less than 25.

Since the alternate hypothesis uses a "less than" symbol ($<$), this indicates a left-tailed test.

Answer:

The alternate hypothesis is left-tailed.

Would you like further details or have questions about hypothesis testing?

Related Questions:

1. What does a right-tailed hypothesis test look like?
2. How do you conduct a hypothesis test for this problem?
3. What are the implications of selecting a left-tailed test?
4. How does the significance level ($\alpha$) affect hypothesis tests?
5. What are the differences between one-tailed and two-tailed tests?

Tip:

In hypothesis testing, always match the inequality sign in $H_1$ to determine if the test is left-tailed, right-tailed, or two-tailed.