BSB123 Definitions.docx

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Department
Management and Human Resources
Course
BSB123
Professor
All Professors
Semester
Spring

Description
BSB123 Data Analysis Definitions  Variable - characteristics of items or individuals  Data - observed values of variables  Descriptive Statistics - field that focuses on summarising or characterising a set of data  Inferential Statistics - information from a sample to draw a conclusion about a population  Categorical (Qualitative) Data - can only be named or categorised. e.g. gender  Nominal Data - no natural or implied order. e.g. bus, train, car  Ordinal Data - implied order. e.g. good, bad, very bad  Numerical (Quantitative) Data - measured on a natural numerical scale. e.g. age  Continuous Data - data that can take on any real number  Discrete Data - countable number of responses (finite)  Interval Data - difference between measurements but no true zero  Ratio Data - differences between measurements true zero exists  Time Series Data - data collected through time  Cross Sectional Data - collected from a point in time  Frequency Distribution - summary table for numerical data  Class Width - Distance between upper and lower boundaries of a class  Range - Distance measure of variation, difference between maximum and minimum data values  Geometric Mean -
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