Explore basic concepts of statistics, including definitions, applications, and analysis of data types. Understand attributes, variables, and the origins of statistical terms. Essential for learners aiming to grasp statistical data handling.
An upper limit to UCL
A lower limit to LCL
Both(a)and(b)
(a)or(b)
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International and Government sources
International and primary sources
Private and primary sources
Government sources
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Interview method
Observation method
Questionnaire method
All these
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Mailed questionnaire method
Interview method
Observation method
All these
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Textual, tabulation and diagrammatic
Tabular, internal and external
Textual, tabular and internal
Tabular, textual and external
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56
23
15
8
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Footnote
Body
Stub
Caption
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Diagrammatic method
Tabulation
Textual presentation
None of these
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Qualitative information
Quantitative information
(a)or(b)
Both (a) and (b)
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Diagrams
Charts
Pictures
All these
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X=y
X>y
X
X>=y
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Telephone interview method
Mailed questionnaire method
Direct interview method
All these
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Statistics is derived from the Latin word 'Status'
Statistics is derived from the Italian word 'Statista'
Statistics is derived from the French word 'Statistik'
None of these.
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Caption
Stub
Box head
Body
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Primary data
Secondary data
Sample data
(a) or (b)
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56
6
68
87
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An attribute
A discrete variable
A continuous variable
(b)or(c)
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An attribute
A variable
A discrete variable
A continuous variable
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Box head
Body
Caption
Stub
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Showing multiple charts
Two or more related time series when the variables are expressed in the same unit
Two or more related time series when the variables are expressed in different unit
Multiple variations in the time series
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Lies between 0 and 1
Lies between 0 and 1, both inclusive
Lies between -1 and 0
Lies between -1 to 1
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Personal interview
Direct interview
Indirect interview
All these
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An attribute
A continuous variable
A discrete variable
(a)or(c).
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A qualitative characteristic
A quantitative characteristic
A measurable characteristic
All these
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Total frequency
Fifty per cent of the total frequency
(a) or (b)
None of these
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Singular sense
Plural sense
Either (a) or (b)
Both (a) and (b)
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Comparing different components of a variable
The relation of different components to the table
(a)or(b)
(a) and (b)
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Personal interview
Indirect interview
Telephone interview
By observation
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Tabular
Textual
Diagrammatic
(a)or(b).
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The upper part of the table
The lower part of the table
The main part of the table
The upper part of a table that describes the column and sub-column.
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Line chart
Ratio chart
Multiple line chart
Component line chart
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Comparing different components and their relation to the total
Representing qualitative data in a circle
Representing quantitative data in circle
(b)or(c)
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Histogram
Less than type ogives
More than type ogives
Frequency polygon
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Frequency polygon
Histogram
Less than type ogives
None of these
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Left part of the table describing the columns
Right part of the table describing the columns
Right part of the table describing the rows
Left part of the table describing the rows
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Statistical analysis of data requires tabulation
It facilitates comparison between rows and not columns
Complicated data can be presented
Diagrammatic representation of data requires tabulation
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Discrete variable
Continuous variable
Attributes
(a)or(b)
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An upper limit to LCL
A lower limit to LCL
(a) and (b)
(a) or (b)
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10
15
18
20
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Textual
Tabular
Diagrammatic
(b) and (c)
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Mixed
Inverted J-shaped
U-shaped
Bell-shaped
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An attribute
A discrete variable
A continuous variable
A variable
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Grouped frequency distribution
Simple frequency distribution
(a)or(b)
(a) and (b)
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A discrete variable
A continuous variable
An attribute
All these
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260
240
230
250
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50
45
40
60
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Textual presentation
Tabulation
Diagrammatic representation
All these
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An attribute
A discrete variable
A continuous variable
(b)or(c).
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