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Sampling variability, the Central Limit Theorem, and sampling distributions of means and proportions
Sampling variability, the Central Limit Theorem, and sampling distributions of means and proportions
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Understand sampling distributions and the variability of sample statistics.
Apply the Central Limit Theorem to approximate sampling distributions as Normal.
Properties of the sampling distribution of xฬ: mean ฮผ, standard error ฯ/โn, and shape via the Central Limit Theorem.
Properties of the sampling distribution of pฬ: mean p, standard error โ(p(1-p)/n), Large Counts condition, and normal approximation.