Res342

RES 342 - Research and Evaluation II hebdomad 2 Notes 1.0 shot Test for a Single world Mean, slender try size When a sample size (n) is minor [less than 30, according to the precept of thumb for the Law of Large be (Central Limit Theorem)], the dissemination of the property (characteristic) of interest of the underlying existence is non cognise to be blueprint, and the population shopworn aberrancy (?) is non k nowadaysn, for a hypothesis raise on the mean we mustiness using up the t dispersal with (n - 1) degrees of freedom or else of the z distribution for the test statistic, which becomes a t-statistic [pic] since the population standard deviation (?) is not known and is estimated with the sample standard deviation (s). equivalent the z-statistic tests we analyze in Week 1, t-statistic tests may be one-tailed or two-tailed, and are conducted avocation the Five-Step Procedure for venture test we introduced in Week 1. The only differences are t hat the z-statistic changes to a t-statistic, and we now use the t distribution instead of the standard normal (z) distribution to retrieve the critical value or the p-value. 2.0 shot Test for a Single Population Proportion speculate we are fire in testing the value of the dimension (?) possessing an attribute (characteristic) of interest in a single population.

An face could be, the proportion of drinkers of a trusted cola who prefer viands over regular. The sample calculator of ? is the sample proportion (p). p = [number in the sample possessing the attribute (characteristic) of interest] / ( number in the sample) The variance of a p! opulation proportion (?) is ?2 = ? ? (1 - ?), so the test statistic is [pic] Like other z-statistic tests, these tests may be one-tailed or two-tailed, and are conducted following the Five-Step Procedure for Hypothesis Testing we introduced in Week 1. 3.0 Hypothesis Test for Two Population Means, Large Sample Size Now suppose we are interested in...If you want to unsex a full essay, order it on our website: OrderCustomPaper.com

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