The sample mean is the point estimator of 𝜇 (the population mean).

In statistics, the sample mean ($\bar{x}$) is used to estimate the population mean ($\mu$). A point estimator provides a single value as an estimate of an unknown parameter, and in this case, the sample mean serves as the best estimate for the true population mean.

Would you like a detailed explanation on this concept or have any other questions?

Here are five related questions to deepen your understanding:

1. What is the difference between a sample mean and a population mean?
2. How do you calculate the sample mean?
3. What is a point estimator, and how is it different from an interval estimator?
4. How does the Law of Large Numbers relate to the sample mean?
5. What is the standard error of the sample mean?

Tip: Always ensure that your sample is random and representative of the population for the sample mean to be an accurate point estimator.