Analysis of Variance anoVa Robust System Design 16881 mit 人 Session #7
Analysis of Variance ANOVA Robust System Design 16.881 Session #7 MIT
Proposed Schedule changes Switch lecture N o quiz Informal (ungraded) presentation of term project ideas Read Phadke ch. 7--Construction Orthogonal arrays Quiz on anova Noise experiment due Robust System Design 16881 mit 人 Session #7
Proposed Schedule Changes • Switch lecture • N o qu iz – Informal (ungraded) presentation of term project ideas • Read Phadke ch. 7 -- Construction Orthogonal Arrays – Quiz on ANOVA – Noise experiment due Robust System Design 16.881 Session #7 MIT
Learning objectives Introduce hypothesis testing Introduce anova in statistic practice Introduce aNoVa as practiced in rD Compare to anoM Get some practice applying anova in RD Discuss /compare/contrast Robust System Design 16881 mit 人 Session #7
Learning Objectives • Introduce hypothesis testing • Introduce ANOVA in statistic practice • Introduce ANOVA as practiced in RD • Compare to ANOM • Get some practice applying ANOVA in RD • Discuss / compare / contrast Robust System Design 16.881 Session #7 MIT
ypothesis lesting a technique that uses sample data from a population to come to reasonable conclusions with a certain degree of confidence Robust System Design 16881 mit 人 Session #7
Hypothesis Testing A technique that uses sample data from a population to come to reasonable conclusions with a certain degree of confidence Robust System Design 16.881 Session #7 MIT
Hypothesis Testing terms Null Hypothesis(Ho)-- The hypothesis to be tested (accept/reject Test statistic -- A function of the parameters of the experiment on which you base the test Critical region --The set of values of the test statistic that lead to rejection ofh Robust System Design mit 人 16881 Session #7
Hypothesis Testing Terms • Null Hypothesis (H o) -- The hypothesis to be tested (accept/reject) • Test statistic -- A function of the parameters of the experiment on which you base the test • Critical region -- The set of values of the test statistic that lead to rejection of Ho Robust System Design 16.881 Session #7 MIT