Hypothesis Testing - Chi Squared Test | chi-square test null hypothesis
HypothesisTesting-ChiSquaredTest HypothesisTesting-ChiSquaredTest Author: LisaSullivan,PhD ProfessorofBiostatistics BostonUniversitySchoolofPublicHealth Thismodulewillcontinuethediscussionofhypothesistesting,whereaspecificstatementorhypothesisisgeneratedaboutapopulationparameter,andsamplestatisticsareusedtoassessthelikelihoodthatthehypothesisistrue.Thehypothesisisbasedonavailableinformationandtheinvestigatorsbeliefaboutthepopulationparameters.Thes...
Hypothesis Testing - Chi Squared TestHypothesis Testing - Chi Squared Test
Author:
Lisa Sullivan, PhD
Professor of Biostatistics
Boston University School of Public Health
This module will continue the discussion of hypothesis testing, where a specific statement or hypothesis is generated about a population parameter, and sample statistics are used to assess the likelihood that the hypothesis is true. The hypothesis is based on available information and the investigators belief about the population parameters. The specific tests considered here are called chi-square tests and are appropriate when the outcome is discrete (dichotomous, ordinal or categorical). For example, in some clinical trials the outcome is a classification such as hypertensive, pre-hypertensive or normotensive. We could use the same classification in an observational study such as the Framingham Heart Study to ...