topic05a - 5.2 Distribution of sample mean 5.3 Central...

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Topic 5A Sampling Distribution 5.1 Sampling variation : Since the sample is a random subset of the population, the sample mean and population mean will not be the same. Different samples will have different sample means. Sample mean is random variable which has distribution, mean and variance. (Population mean, sample mean, mean of sample mean!!!!????!!!)
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Unformatted text preview: 5.2 Distribution of sample mean : 5.3 Central limit theorem: Even if the population is not normal, sample means from the population will be approximately normal as long as the sample size is large enough (n>30) 5.4 Distribution of difference between two sample means: For two samples, we call large samples only when both sample sizes >30 ....
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This note was uploaded on 09/15/2008 for the course ISMT 111 taught by Professor Wanxuhu during the Fall '08 term at HKUST.

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