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Statstics
Numerical facts (averagaes, medians, percentages, and maximums)
Data
The facts and figures collected, analyzed, and summarized
Data Set
All data collected in a study
Elements
The entities on which data is collected
Variable
A characteristic of interest for the elements
Observation
The set of measurements obtained for a particular element
Nominal Scale
The data are labels/names used to identify an attribute of the element
Ordinal Scale
The data have the props of the nominal data, and the order or the rank of the data MATTERS
Interval Scale
The data have the properties of ordinal data and the interval btwn observations is expressed in terms of fixed units of measure (ALWAYS numerical)
Ratio Scale
The data have the properties of interval data and the ratio scale of measurement
Categorical Data
counting the number of observations in e/a category
computing the proportion of the observations in e/a category
Quantitative Data
“how much or how many”
ordinary arithmetic operations are meaningful
Time Series Data
collected over several periods
identifies trends over time
Cross Sectional Data
collected at the same or approx. the same point in time
identifies one specific trend
Population
The set of all elements of interest in a particular study
Sample
A subset of the population
Census
Conducting surveys to collet data for the entire population
Sample Survey
Conducting surveys to collect data for a sample
Statistical Inference
The process through which we use data from a sample to make estimates/test hypothesis about characteristics of a population
Analytics
Transferring data into insights for making decisons