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

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LISA helps VT researchers benefitfrom the use of StatisticsLaboratory for Interdisciplinary StatisticalAnalysisCollaborationWalk-In ConsultingEvery day from 1-3PMclients get answers to their(quick) questions about usingstatistics in their research.www.lisa.stat.vt.edu12
LISA helps VT researchers benefitfrom the use of StatisticsLaboratory for Interdisciplinary StatisticalAnalysisCollaborationWalk-In ConsultingShort CoursesShort Courses aredesigned to teachgraduate students howto apply statisticsin their research.www.lisa.stat.vt.edu13
Page 1 and 2: Laboratory for InterdisciplinarySta
Page 3 and 4: Laboratory for Interdisciplinary St
Page 11: 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
Page 73 and 74:
CA B C A BMedical TreatmentCompare
Page 75 and 76:
The mean square for groups, MSG, me
Page 77 and 78:
Step 4: Calculate the p-value. Step
Page 79 and 80:
JMP demonstrationAnalyze Fit Y By
Page 81 and 82:
The p-value of the overall F test i
Page 83:
LevelDrug CDrug CDrug B- LevelDrug
Page 86 and 87:
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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