Central Limit Theorem Visualizer

Simulation Settings

Population Distribution

Sample Size (n) 30

Number of Simulations 1000

105000

Population Distribution (X)

Sampling Distribution of Sample Mean

Central Limit Theorem (CLT) The Central Limit Theorem (CLT) states that, regardless of the population distribution, the sampling distribution of the sample mean will tend toward a Normal distribution as the sample size becomes sufficiently large (typically n ≥ 30):

Central Limit Theorem Visualizer

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Simulation Settings

Population Distribution (X)

Sampling Distribution of Sample Mean

这个工具能帮我做什么？