HW 1 due Sunday 11:59 PM
Statistics reflections posted
Let \(X_1,X_2,...,X_n\) have population mean \(\mu\) and variance \(\sigma^2\)
\[ \bar{X} \sim N(\mu,\frac{\sigma^2}{n}) \]
As the sample size gets large, the sample mean becomes normally distributed, with mean \(\mu\) and standard error \(\sigma/\sqrt{n}\) , regardless of the distribution of \(X_1,...,X_n\)