what are the main features of statistics as a numerical data ? describe any four
Answers
Answer:
Collected should be, for a pre determined purpose. The figures are collected with some goal objective in mind. Without any objective collected data will be useless. Thus, the purpose of collecting data must be decided in advance.
Four types:
nominal, ordinal, interval and ratio
Nominal:
A nominal scale is a scale of measurement used to assign events or objects into discrete categories. ... The nominal scale holds two additional properties. The first property is that all categories are equal. Unlike in other scales, such as ordinal, interval, or ratio scales, categories in the nominal scale are not ranked.
Ordinal:
Ordinal data is a categorical, statistical data type where the variables have natural, ordered categories and the distances between the categories is not known.
Interval:
The interval scale is a quantitative measurement scale where there is order, the difference between the two variables is meaningful and equal, and the presence of zero is arbitrary. It measures variables that exist along a common scale at equal intervals.
Ratio:
Ratio scale refers to the level of measurement in which the attributes composing variables are measured on specific numerical scores or values that have equal distances between attributes or points along the scale and are based on a “true zero” point.
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Answer:
Statistics are affected to a marked extent by multiplicity of causes.
Statistics are enumerated or estimated according to a reasonable standard of accuracy.
Statistics are collected for a predetermined purpose.
Statistics are collected in a systemic manner.
Statistics must be comparable to each other.