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Summary Data Processing & Analysis

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Data Processing & Analysis Simplifies statistical tools and techniques so you can understand and apply them easily.

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Unitil 04 : Data Processing
É &
it
É it
Analysis
11 51
7
Data processing converts rawdatainto actionable informationthrough a structured
cycl
involving 6 stages
datacollection thatarereliable
databasessources


datapreparation info
cleaning preprocessingremovingirrelevant


datainput transforming itintomachinereadableformat
modelstoderiveinsights
dataprocessing using
output interpretation v isually interpretation
presentation


storage
forf utureuse reference




HypothesisTesting

In statisticalanalysis is essential to understand
hypothesis testing
if a statemen
regarding a population is validbased on thesampleselected Researchmethodology
employsvarious methods techniques
forhypothesistesting
Parametric or standardised tests
NonParametric or DistributionFreetests

Basis ParametricTests NonParametricTests
meaning testsbased onassumptions or parameters testsarenotbased on
any parameters
ofa population demonstratedbyitssample
mumption
requiresstrictassumptions variance canbeusedwith no assumptions
homogenity independent observations no

er normaldistribution etc
distribution
assumesnormal distribution doesnotrequirenormal distribution
gyan highlyaffectedbyoutliers notaffectedbyoutliers
me
mean variance standarddeviation median ranking
mesii
ratioandinterval nominal ordinal ratio interval
sams
largesamplesize smallsamplesize

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Uploaded on
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Number of pages
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Written in
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Type
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