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STATISTICS, PAULINA IVONNE MONCADA RODRÍGUEZ - Coggle Diagram
STATISTICS
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MEASUREMENT SCALES
ORDINAL
A measurement scale is ordinal if the data can be used to rank or order the observations. Ordinal data can be numeric or non-numeric.
INTERVAL
A measurement scale is interval if the data has the properties of ordinal data and the intervals between observations are expressed in terms of a fixed unit of measurement. The interval data must be numeric.
NOMINAL
A measurement scale is nominal if the data are labels or categories that are used to define an attribute of an element. Nominal data can be numeric or non-numeric.
STATISTICS DIVITION
INFERENTIAL STATISTICS
it is derived from samples, from observations made only on part of a large set of elements, and this implies that their analysis requires generalizations that go beyond the data. As a consequence, the most important feature of the recent growth of statistics has been a shift in emphasis from methods describing to methods that serve to make generalizations. Inferential Statistics investigates or analyzes a population based on a sample taken.
DESCRIPTIVE STATISTICS
It consists above all in presenting data in the form of tables and graphs. This comprises any activity related to the data and is designed to summarize or describe the same without additional pertinent factors; that is, without trying to infer anything that goes beyond the data, as such.
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VARIABLES
QUANTITATIVE
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KEEP GOING
The variable can only take values in a determined number of values. In each range of values the variable can only take one value.
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DEFINITION
Statistics is a form of mathematical analysis that uses quantified models, representations and synopses for a given set of experimental data or real-life studies. Statistics studies methodologies to gather, review, analyze and draw conclusions from data.
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