ISDS 2000 Chapter : Chapter 8 Outline Updated 0810
15 Mar 2019
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In this case, the interval estimate is referred to as a confidence interval: preview of interval estimates. 95% of the intervals around the sample mean contain the true population mean; whereas 5% do not. (note: this interval is calculated using a width of 1. 96 standard deviations, 1. 96 n: level of confidence (1- ) Z 2: ci(1- ) = x c. ci(1- )= x (margin of error, example: page 256. The population must be normal, otherwise the sample size must be sufficiently large (n 30) for the sampling distribution to be normal: influences on the width of a. Confidence interval: level of confidence, 90% level of confidence, 95% level of confidence, 99% level of confidence, sample size. Z 2: when is unknown, then to standardize the sample means, we. X must use s n: if x has a normal distribution, then. X s n has the shape of a t- distribution with (n-1) degrees of freedom: so the confidence interval is.
