Chapter 1 Flashcards
Data
Facts and figures collected, analyzed, and summarized for presentation and interpretation
Data set
All the data collected in a particular study
Elements
the entities on which data are collected [each data point row]
Variable
a characteristic of interest for the elements [columns]
Observation
A set of measurements obtained for a particular element
Nominal data
Lowest level of measurement, representing classification of only such data as geographic location, gender, or SSN [example: Employment Classification]
Ordinal Data
Nominal data with rank ordering measurements
- numbers are used to indicate rank or order
- Relative magnitude of numbers is meaningful
- Differences between numbers are not comparable
Interval Level Data
Location of origin, zero, is arbitrary
Always numeric
[examples: Fahrenheit temperature, calendar time, percentage change in employment]
Ratio Data
Highest level of measurements
Relative magnitude of numbers is meaningful
Differences between numbers are comparable
Location of origin, zero, is absolute (natural) -> the zero value in the data represents the absence of the characteristic being studied
Qualitative Data
Labels or names used to identify an attribute of each element.
Use either the nominal or ordinal scale of measurement
numeric or nonnumeric
Appropriate statistical analyses are rather limited
Quantitative Data
indicate how many or how much
- discrete -> how many
- continuous -> how much
Always numeric
Use either the interval or ratio scale of measurement
Ordinary arithmetic operations are meaningful for quantitative data
Cross Sectional Data
data collected at the same or approximately the same point in time
Time series data
data collected over several time periods
Data sources [existing sources]
sources that already exist [within a firm, business data base services, government agencies, industry associations, special-interest organizations, internet]
Experimental Studies
variables of interest are first identified; then one or more factors are controlled so that data can be obtained about how the factors influence the variables