lect-1 · 2013. 8. 13. · Title: lect-1.jnt Author: rafik Created Date: 3/15/2013 19:47:21
Lect 13-25.02.15
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Transcript of Lect 13-25.02.15
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N P SinghLecture -13: 25.02.15
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Nominal
Twocategories
More thantwo categories
Frequency tableProportion (percentage)
Frequency tableCategory proportions
(percentages)Mode
Type of descriptive analysisAnalysis of
Independence
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Type ofMeasurement
Type of descriptive analysis
Ordinal Rank orderMedian
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Type ofMeasurement
Type of descriptive analysis
Interval Arithmetic mean
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Type ofMeasurement
Type of descriptive analysis
RatioIndex numbers
Geometric meanHarmonic mean
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A technique for organizing data by groups, categories, or classes, thus facilitating comparisons; a joint frequency distribution of observations on two or more sets of variables
Contingency table- The results of a cross-tabulation of two variables, such as survey questions
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Analyze data by groups or categoriesCompare differencesContingency tablePercentage cross-tabulations
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TwoTworatingratingscalesscales 4 quadrants4 quadrants
two-dimensionaltwo-dimensionaltabletable Importance-Importance-
PerformancePerformanceAnalysis)Analysis)
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Quadrant analysis is a variation of cross-tabulation in which responses to two rating scale questions are plotted in four quadrants of a two-dimensional table.
A common quadrant analysis in business research portrays or plots relationships between average responses about a product attribute’s importance and average ratings of a company’s (or brand’s) performance on that product feature.
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Data conversionChanging the original form of the
data to a new formatMore appropriate data analysisNew variables
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Strongly Agree Agree Neither Agree nor
Disagree Disagree Strongly Disagree
Strongly Agree/Agree
Neither Agree nor Disagree
Disagree/Strongly Disagree
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Score or observation recalibrated to indicate how it relates to a base number
CPI - Consumer Price Index
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Ordinal dataBrand preferences
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Bannerheads for columnsStudheads for rows
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Pie chartsLine graphsBar charts
Vertical Horizontal
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0102030405060708090
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
EastWestNorth
Bar Graph
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643 Netw orking213 print ad179 Online recruitment site112 Placement f irm18 Temporary agency
How did you find your last job?
7006005004003002001000
Netw orking
print ad
Online recruitment site
Placement f irm
Temporary agency
55.2 %
18.3 %
15.4 %
9.6 %
1.5 %
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Box and whisker plots Interquartile range - midspreadOutlier
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Statistical methods that allow the simultaneous investigation of more than two variables
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All multivariatemethods
Are some of thevariables dependent
on others?
Yes No
Dependencemethods
Interdependencemethods
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A category of multivariate statistical techniques; dependence methods explain or predict a dependent variable(s) on the basis of two or more independent variables
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DependenceMethods
How manyvariables aredependent
One dependentvariable
Severaldependentvariables
Multipleindependent
and dependentvariables
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DependenceMethods
How manyvariables aredependent
One dependentvariable
NonmetricMetric
Multiplediscriminant
analysis
Multipleregression
analysis
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Metric data is any reading which is at least at an interval scale. As opposed to Non Metric data which can be nominal or ordinal.
Ex: weight, height, distance, revenue, cost etc., all of them are interval scales or above. Hence they are metric data.
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DependenceMethods
How manyvariables aredependent
NonmetricMetric
Conjointanalysis
Multivariateanalysis of
variance
Severaldependentvariables
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DependenceMethods
How manyvariables aredependent
Multipleindependent
and dependentvariables
Metricor
nonmetric
Canonicalcorrelation
analysis
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A category of multivariate statistical techniques; interdependence methods give meaning to a set of variables or seek to group things together
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Interdependencemethods
Are inputs metric?
Metric Nonmetric
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Metric
Metricmultidimensional
scaling
Clusteranalysis
Factoranalysis
Interdependencemethods
Are inputs metric?
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Nonmetric
Nonmetric MDS
Interdependencemethods
Are inputs metric?