They are based on T-Scores, which we first met in the lecture notes for Topic 4. These procedures use the T-Test, rather than the Z-Test. We don't usually know the population's standard deviation, which is required to compute the z-score's standard error.Ĭhapter 9 presents the statistical procedures that permit researchers to use a sample mean to test hypotheses about a population, when the population standard deviation is NOT known. To quantify our inferences about the population, we compare the obtained sample mean with the hypothesized population mean by computing a z-score test statistic.The standard error provides a measure of how well a sample mean approximates the population mean.This permits us to use the sample mean to test a hypothesis about the population mean. A sample mean is expected to more or less approximate its population mean. These statistical procedures were based on a few basic notions, which are summarized as follows: Overview Chapter 8 presents the statistical procedures that permit researchers to use a sample mean to test hypotheses about a population.ViSta, Chapter 4 Copyright © 1997-8 by Forrest W. One Sample Hypothesis Tests Gravetter & Wallnau, Chapters 8 & 9
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |