Sociology 2205A/B Lecture Notes - Lecture 5: Sampling Distribution, Standard Deviation

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All inference methods in this class assume epsem: more complex probability sampling designs (stratified clustered) common in large surveys - not relevant for us. Sampling distribution: central concept in inference: its link between samples statistics and population parameters, def: the theoretical distribution of sample statistics like xbar for all possible samples of size n. Sampling distribution of ample means xbar from large enough samples (n>25) will be: approximately normal, with mean = population mean, standard deviation, the s. d is called standard error. The population distribution iq is approximately normal, with mean=15 and sigma=15.

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