STT 315 Study Guide - Final Guide: Standard Deviation, Sample Size Determination, Bias Of An Estimator
8 Dec 2016
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Sampling mean distribution finding mean: use 1 var stats = e(x)= remember normalcdf=(lower, upper, , invnorm(area on other side of z) No, because the clt states that the sampling distribution of x_ is approx. normal distributed only if sample size is large enough. Z-score of x= as the value of n increases, the histograms become less spread out. Sample is considered large enough if n -sample size increases, the sample mean x bar estimates the population mean within retain margin of error with higher probability. Sampling distribution of p u(p )=p (p )= sample is large enough if np. Adjusted (1- ) 100% confidence interval for population proportion: p . The mean of the sampling distribution of (p ) is p, (p ) is an unbiased estimator of p. Standard deviation of sampling distribution of (p ) is (p )=, q=1-p.
