Introduction to Applied Statistical Analysis

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# Introduction to Applied Statistical Analysis - PowerPoint PPT Presentation

Introduction to Applied Statistical Analysis. A practical course for handling datasets. Statistical analysis. T he science of collecting, exploring and presenting large amounts of data to discover underlying patterns and trends The first step is basic exploratory data analysis

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## PowerPoint Slideshow about 'Introduction to Applied Statistical Analysis' - kennan

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### IntroductiontoAppliedStatisticalAnalysis

A practicalcourseforhandlingdatasets

Statisticalanalysis
• The science of collecting, exploring and presenting large amounts of data to discover underlying patterns and trends
• The firststep is basicexploratorydataanalysis
• B.E.D.A. has two main roles:
• 1. todefinebasicstatisticalvalues
• 2. tovisualizedata
Everydaystatistics

(youcanfindotherfactsat http://www.tylervigen.com/)

Softwaresforstatisticalanalysis
• Open sourcestatisticalpackages
• Public domainstatisticalpackages
• Freeware statisticalpackages
• Proprietarystatisticalpackages (e.g. OriginPro)
• Microsoft Excel is notforthispurpose!
Whywedon’t use Microsoft Excel foranalysis?
• Basic functionsand formulas(forgettingaverageanddeviation)
• Data visualizationwithgraphs and diagrams
• Seemsimpressive (withgraphicalsettings)
• Mathematicallyinaccurate (I’ll show you)
• Scientificcontentcan be hardlypresentedinsomecases
• AnalysisToolPak is needed
• This program wasnotdevelopedfordataanalysis
Practice session: objectivesforOrigin
• Objective 1. statisticalanalysis, basicplotrepresentations (curve, column, waterfall), linear and nonlinearcurvefitting, BoxPlot
• Objective 2. histogram, distributioncurve, scatterplot, Q-Q plot, axisvaluesettings, colourcodemodifications
• Objective 3. makingenthalpyprofile, solid vs. dashed line, otheraxisproperties, adding text tograph
• Objective 4. datasetconversiontomatrix, matrixrepresentationwithdifferentsurfacetechniques

+ Graph export topicture (atthe end, foreveryobjectives)

Objective 1
• Statisticalanalysis, basicplotrepresentations (curve, column, waterfall), linear and nonlinearcurvefitting, BoxPlot
• Dataset: vibrationalfrequencies of opiorphin (QRFSR), inallits epimers
• Forfitting: rotation of Asn
Objective 2
• Histogram, distributioncurve, scatterplot, Q-Q plot, axisvaluesettings, colourcodemodifications
• Dataset: potentialenergies (in kcal/mol), radii of gyration and number of H-bondsin opiorphin epimers
Objective 3
• Makingenthalpyprofile, solid vs. dashed line, otheraxisproperties, adding text tograph
• Dataset: enthalpies (in kJ/mol) forthereactionsystem of HCN + OH radical
Objective 4
• Datasetconversiontomatrix, matrixrepresentationwithdifferentsurfaces
• Dataset: χ1, χ2and ∆rE(inhartree)