Lect 13-25.02.15
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Transcript of Lect 13-25.02.15
N P SinghLecture -13: 25.02.15
Nominal
Twocategories
More thantwo categories
Frequency tableProportion (percentage)
Frequency tableCategory proportions
(percentages)Mode
Type of descriptive analysisAnalysis of
Independence
Type ofMeasurement
Type of descriptive analysis
Ordinal Rank orderMedian
Type ofMeasurement
Type of descriptive analysis
Interval Arithmetic mean
Type ofMeasurement
Type of descriptive analysis
RatioIndex numbers
Geometric meanHarmonic mean
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
Analyze data by groups or categoriesCompare differencesContingency tablePercentage cross-tabulations
TwoTworatingratingscalesscales 4 quadrants4 quadrants
two-dimensionaltwo-dimensionaltabletable Importance-Importance-
PerformancePerformanceAnalysis)Analysis)
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.
Data conversionChanging the original form of the
data to a new formatMore appropriate data analysisNew variables
Strongly Agree Agree Neither Agree nor
Disagree Disagree Strongly Disagree
Strongly Agree/Agree
Neither Agree nor Disagree
Disagree/Strongly Disagree
Score or observation recalibrated to indicate how it relates to a base number
CPI - Consumer Price Index
Ordinal dataBrand preferences
Bannerheads for columnsStudheads for rows
Pie chartsLine graphsBar charts
Vertical Horizontal
0102030405060708090
1st Qtr 2nd Qtr 3rd Qtr 4th Qtr
EastWestNorth
Bar Graph
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 %
Box and whisker plots Interquartile range - midspreadOutlier
Statistical methods that allow the simultaneous investigation of more than two variables
All multivariatemethods
Are some of thevariables dependent
on others?
Yes No
Dependencemethods
Interdependencemethods
A category of multivariate statistical techniques; dependence methods explain or predict a dependent variable(s) on the basis of two or more independent variables
DependenceMethods
How manyvariables aredependent
One dependentvariable
Severaldependentvariables
Multipleindependent
and dependentvariables
DependenceMethods
How manyvariables aredependent
One dependentvariable
NonmetricMetric
Multiplediscriminant
analysis
Multipleregression
analysis
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.
DependenceMethods
How manyvariables aredependent
NonmetricMetric
Conjointanalysis
Multivariateanalysis of
variance
Severaldependentvariables
DependenceMethods
How manyvariables aredependent
Multipleindependent
and dependentvariables
Metricor
nonmetric
Canonicalcorrelation
analysis
A category of multivariate statistical techniques; interdependence methods give meaning to a set of variables or seek to group things together
Interdependencemethods
Are inputs metric?
Metric Nonmetric
Metric
Metricmultidimensional
scaling
Clusteranalysis
Factoranalysis
Interdependencemethods
Are inputs metric?
Nonmetric
Nonmetric MDS
Interdependencemethods
Are inputs metric?