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Data Classification and Presentation
In the graphical representation of data, the ideographs are also called as
picto-graph
pictograms
symmetry graph
asymmetry graphs
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Data Classification and Presentation
The diagrams such as cubes and cylinders are classified as
one dimension diagrams
two dimension diagram
three dimensional diagrams
dispersion diagrams
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Data Classification and Presentation
The halfway point between the lower class limits and upper class limits is classified as
nominal mid-point
class mid-point
interval mid-point
ordinal mid-point
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Data Classification and Presentation
The classification on the basis of time order is called as
disclosed classification
chronological classification
external classification
internal classification
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Data Classification and Presentation
The type of classification in which class is subdivided into subclasses and one attribute is assigned for statistical study is considered as
rational classification
reflected classification
simple classification
manifold classification
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Data Classification and Presentation
The data based on workers salary is as 2500, 2700, 2600, 2800, 2200, 2100, 2000, 2900, 3000, 2800, 2200, 2500, 2700, 2800, 2600 and number of classes desired is 10 then width of class interval is
400
300
100
200
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Data Classification and Presentation
The classification method in which the upper limit of interval is same as of lower limit class interval is called
exclusive method
inclusive method
mid-point method
ratio method
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Data Classification and Presentation
The graphical diagram in which total number of observations are represented in percentages rather than absolute values is classified as
asymmetrical diagram
ungrouped diagram
grouped diagram
pie diagram
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Data Classification and Presentation
The term used to describe frequency curve is
symmetrical distribution
symmetry and kurtosis
kurtosis of distribution
relative frequency curve
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Data Classification and Presentation
The data classification which is based on variables such as production, cost, height and weight is considered as
qualitative classification
quantitative classification
open end classification
time series classification
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