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Weak Law of Large Numbers
For independent identically distributed random variables with finite mean:
$$\overline X_n=\frac1n\sum_{i=1}^{n}X_i\rightarrow\mu$$
in probability.
Usage
- Used to show that sample averages approach the population mean.
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Weak Law of Large Numbers
For independent identically distributed random variables with finite mean:
$$\overline X_n=\frac1n\sum_{i=1}^{n}X_i\rightarrow\mu$$
in probability.
Usage
- Used to show that sample averages approach the population mean.
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