False.

For a sample size of $n > 30$, the degrees of freedom (df) is still $n - 1$, not just for large sample sizes. This applies generally in basic statistical calculations such as when estimating population parameters using a sample, specifically in cases like the calculation of the sample standard deviation or in a t-distribution for hypothesis testing.

Would you like more details or have any questions?

Here are 5 related questions:

1. What is the significance of degrees of freedom in statistical analysis?
2. How is the t-distribution affected by the degrees of freedom?
3. Why is the formula for degrees of freedom in small samples also $n-1$?
4. How does degrees of freedom apply to different types of tests (e.g., chi-square test)?
5. What is the difference in using the t-distribution versus the z-distribution?

Tip: When dealing with large sample sizes, the t-distribution approaches the normal distribution as the degrees of freedom increase.