Lecture 7: Hypothesis Testing and ANOVA

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Lecture 7: HypothesisTesting and ANOVAGoals Introduction to ANOVA Review of common one and two sample tests Overview of key elements of Hypothesis testingHypothesis Testing The intent of Hypothesis Testing is formally examine twoopposing conjectures (hypotheses), H0 and HA These two hypotheses are mutually exclusive andexhaustive so that one is true to the exclusion of theother We accumulate evidence - collect and analyze sampleinformation - for the purpose of determining which ofthe two hypotheses is true and which of the twohypotheses is falseThe Null and Alternative Hypothesis States the assumption (numerical) to be tested Begin with the assumption that the null Hypothesis is TRUE Always contains the = signThe null Hypothesis , H0:The alternative Hypothesis , Ha: Is the opposite of the null Hypothesis Challenges the status quo Never contains just the = sign Is generally the Hypothesis that is believed to be true bythe researcherOne and Two Si

Confidence Intervals •Confidence interval: an interval of plausible values for the parameter being estimated, where degree of plausibility specifided by a “confidence level” •General form:! x ö ± critical value " ¥ se! x -y ± t ",m+n#2 ¥ s p 1 m + 1 n

  Confidence, Interval, Confidence intervals