MGCR 271 Lecture Notes - Lecture 8: Headon, Halfwidth And Fullwidth Forms, Confidence Interval
3 Oct 2016
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Document Summary
Methods for drawing conclusions about a population from sample data are called statistical inference. Inference is appropriate when data are randomly sampled. An estimator is a sample statistic that is used to estimate a population parameter. For instance, acts as an estimator for . A point estimate is a single value of a sample statistic that estimates the exact value of a population parameter. A confidence interval estimate (l u) is a range of possible values for which there is an associated degree of confidence that it will include the value of the population parameter. 1 - = confidence associated with interval estimate (i. e. 95%). Point estimate (distribution factor corresponding to 1 - )*(standard error). A point estimate is placed at the center of the interval, the width of which depends on the degree of confidence and the standard error. Confidence interval for when n 30 regardless of population distribution:
