To identify the test statistic $t$, you'll need to use the formula:

$t = \frac{\bar{X} - \mu}{\frac{s}{\sqrt{n}}}$

where:

• $\bar{X}$ is the sample mean,
• $\mu$ is the population mean (or hypothesized mean),
• $s$ is the sample standard deviation, and
• $n$ is the sample size.

If you provide these values, I can calculate the test statistic for you. Alternatively, if you're working with a specific statistical test setup, please share those details so I can offer more precise guidance.

Would you like further details or have any questions?

Here are some related questions to explore further:

1. What values do you have for the sample mean, population mean, and standard deviation?
2. How is a test statistic used in hypothesis testing?
3. What are the typical steps for calculating a t-test statistic?
4. Why is it necessary to round the test statistic?
5. When should you use a t-test instead of a z-test?

Tip: Always ensure your sample size and standard deviation values are accurate when calculating the test statistic, as small errors can significantly impact your results.