STATISTICAL DATA TYPES
QUESTIONS CORRECT ANSWERS
Rationale - ans- sw swsw
The key to understanding what we can do with statistics, both from a creator and fr
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om a user point of view, is to know and understand the characteristics of the data b
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eing examined. sw
Data - ans-The information we collect about a topic or subject under investigation
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Qualitative (categorical) - ans- sw sw swsw
Data that can be placed into distinct partitions or categories according to some defin
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ing characteristic or attribute
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Quantitative Data - ans- sw sw swsw
numerical in nature, result from a process that counts or measures, can be ordered
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or ranked, can be used in meaningful copmutations
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Qualitative Nominal Data - ans-Classifies data into mutually exclusive (non-
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overlapping), exhaustive categories in which no order of ranking ( better or worse) c
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an be imposed on the data (may be numeric or non-numeric).
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Qualitative Nominal Numeric Data - ans- sw sw sw sw swsw
The number value indicates the category of a data element; meaningful arithmetic c
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annot be performed upon the data (area codes used with telephones, street address
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numbers, social security numbers, course numbers).
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Qualitative Nominal Non-Numeric Data - ans-
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The description of the data indicates the category of an element (political party, mari
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tal status, college courses [maths, English..]).
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Qualitative Ordinal Data - ans- sw sw sw swsw
Classifies data into categories that can be ranked, provides information about relativ
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e comparisons, has no precise differences between the ranks, may be either numeri
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c or non numeric.
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Qualitative Ordinal Numeric Data - ans- sw sw sw sw swsw
The value permits ranking or ordering of data by means of numbers [grade in schoo
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l (first, second, third, fourth), awards in a judged contest (first place, second place, t
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hird place), rating scales (1,2,3,4,5)].
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QUESTIONS CORRECT ANSWERS
Rationale - ans- sw swsw
The key to understanding what we can do with statistics, both from a creator and fr
sw sw sw sw sw sw sw sw sw sw sw sw sw sw sw
om a user point of view, is to know and understand the characteristics of the data b
sw sw sw sw sw sw sw sw sw sw sw sw sw sw sw sw
eing examined. sw
Data - ans-The information we collect about a topic or subject under investigation
sw swsw sw sw sw sw sw sw sw sw sw sw
Qualitative (categorical) - ans- sw sw swsw
Data that can be placed into distinct partitions or categories according to some defin
sw sw sw sw sw sw sw sw sw sw sw sw sw
ing characteristic or attribute
sw sw sw
Quantitative Data - ans- sw sw swsw
numerical in nature, result from a process that counts or measures, can be ordered
sw sw sw sw sw sw sw sw sw sw sw sw sw sw
or ranked, can be used in meaningful copmutations
sw sw sw sw sw sw sw
Qualitative Nominal Data - ans-Classifies data into mutually exclusive (non-
sw sw sw swsw sw sw sw sw sw
overlapping), exhaustive categories in which no order of ranking ( better or worse) c
sw sw sw sw sw sw sw sw sw sw sw sw sw
an be imposed on the data (may be numeric or non-numeric).
sw sw sw sw sw sw sw sw sw sw
Qualitative Nominal Numeric Data - ans- sw sw sw sw swsw
The number value indicates the category of a data element; meaningful arithmetic c
sw sw sw sw sw sw sw sw sw sw sw sw
annot be performed upon the data (area codes used with telephones, street address
sw sw sw sw sw sw sw sw sw sw sw sw s
numbers, social security numbers, course numbers).
w sw sw sw sw sw
Qualitative Nominal Non-Numeric Data - ans-
sw sw sw sw swsw
The description of the data indicates the category of an element (political party, mari
sw sw sw sw sw sw sw sw sw sw sw sw sw
tal status, college courses [maths, English..]).
sw sw sw sw sw
Qualitative Ordinal Data - ans- sw sw sw swsw
Classifies data into categories that can be ranked, provides information about relativ
sw sw sw sw sw sw sw sw sw sw sw
e comparisons, has no precise differences between the ranks, may be either numeri
sw sw sw sw sw sw sw sw sw sw sw sw
c or non numeric.
sw sw sw
Qualitative Ordinal Numeric Data - ans- sw sw sw sw swsw
The value permits ranking or ordering of data by means of numbers [grade in schoo
sw sw sw sw sw sw sw sw sw sw sw sw sw sw
l (first, second, third, fourth), awards in a judged contest (first place, second place, t
sw sw sw sw sw sw sw sw sw sw sw sw sw sw
hird place), rating scales (1,2,3,4,5)].
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