Laboratory for Interdisciplinary Statistical Analysis - LISA - Virginia ...

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Laboratory for Interdisciplinary StatisticalAnalysis2008: The Statistical Consulting Center was re-organized as theLaboratory for Interdisciplinary Statistical Analysis (LISA) tocollaborate with researchers across the Virginia Tech (VT)campuses.www.lisa.stat.vt.edu
Laboratory for Interdisciplinary StatisticalAnalysisYearClients Hours2000 299 13682001 293 19382002 321 22202003 304 21922004 274 17752005 211 4952006 171 5412007 190 9652008 895 21842009 719 30932010 1124 4420Established in 2008www.lisa.stat.vt.edu
Page 1 and 2: Laboratory for InterdisciplinarySta
Page 3 and 4: Laboratory for Interdisciplinary St
Page 5: Laboratory for Interdisciplinary St
Page 11 and 12: LISA helps VT researchers benefitfr
Page 13 and 14: LISA helps VT researchers benefitfr
Page 15 and 16: How can LISA help?• Formulate res
Page 19 and 20: Introduction to R• R is a free so
Page 23 and 24: Anne Ryan23
Page 25 and 26: Burden of Proof—Obligation to shi
Page 27 and 28: Hypothesis Test: Procedure for exam
Page 29 and 30: State the name of the testing metho
Page 31 and 32: State the hypothesis of interest Th
Page 33 and 34: 1. Left Tailed Hypothesis Test:•
Page 35 and 36: Three Requirements for Stating Hypo
Page 37 and 38: Significance Level: Here we choose
Page 39 and 40: Test Statistic: Compute the test st
Page 41 and 42: Conclusion: Last step of the hypoth
Page 44 and 45: Used to test whether the population
Page 46 and 47: The sample is random. The populatio
Page 48 and 49: A researcher would like to know whe
Page 50: Step 5 Conclusion: Fail to reject
Page 53 and 54: The population means of the two gro
Page 55 and 56: Step 3: Calculate the test statisti
Page 57 and 58:
Steps 2-4:JMP Demonstration:Analyze
Page 60 and 61:
The paired t-test is used to compar
Page 62 and 63:
The sample is random. The data is m
Page 64 and 65:
A researcher would like to determin
Page 66:
Step 5 Conclusion: There is not evi
Page 69 and 70:
The first step is to use the ANOVA
Page 71 and 72:
Step 1: We test whether there is ad
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CA B C A BMedical TreatmentCompare
Page 75 and 76:
The mean square for groups, MSG, me
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Step 4: Calculate the p-value. Step
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JMP demonstrationAnalyze Fit Y By
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The p-value of the overall F test i
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LevelDrug CDrug CDrug B- LevelDrug
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No InteractionInteractionImprovemen
Page 88 and 89:
We would like to determine the effe
Page 90 and 91:
The one sample t-test allows us to
Page 92 and 93:
Fisher’s Irises Data (used in one
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