Q. The complex type of table in which the variables to be studied are subdivided with interrelated characteristics is called as

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Q. If in the bar diagram the characteristics variable to be measured is written on horizontal axis and frequencies are written on vertical axis then the graph is for

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Q. The second step in constructing the frequency distribution is to

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Q. The simple classification and manifold classification are types of

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Q. The type of bar chart that is used to present deficit in loss, excess in exports and deficit in imports is classified as

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Q. The cumulative frequency distribution which is 'greater than' type is correspondent to

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Q. The type of classification in which class is subdivided into subclasses and one attribute is assigned for statistical study is considered as

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Q. The graphical diagram in which total number of observations are represented in percentages rather than absolute values is classified as

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Q. The sub-divided bar charts are considered best to be used if the information is presented in

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Q. The 'less than type' cumulative frequency distribution is considered as correspondent to

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Q. If the midpoints of bars on the charts are marked and marked dots are joined by a straight line then this graph is classified as

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Q. The curve of cumulative frequency is also known as

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Q. The distribution which requires inclusion of open ended classes is considered as

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Q. The first step in constructing the frequency distribution is to

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Q. The class interval classification method which ensures the data continuity is classified as

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Q. The stem and leaf displaying technique is used to present data in

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Q. In the graphical representation of data, the ideographs are also called as

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Q. The largest numerical value is 85 and smallest numerical value is 65 and the classes desired are 8 then width of class interval is

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Q. The record of daily shipment is 34, 35, 41, 30, 55, 45, 30, 34, 32, 52, 42, 40, 60, 36, 38, 48, 56, 53, 34, 33, 32, 41, 55, 59, 34, 51, 54, 53, 36, then the range of values to calculate class interval is

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Q. If each value of frequency distribution is divided by total number of recorded observations in distribution then the resultant value is called

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