2024/2025
data - ANSWERSvalues assigned to measurements
primary data - ANSWERSadv: collected and orgainzed by user
dis: expensive and time consuming
secondary data - ANSWERSadv: readily available
dis: no control over organization and accuracy
nominal data - ANSWERS-arbitrary labels
-no ranking
-name/label
ordinal data - ANSWERS-ranking exists
-no measurable meaning to numerical differences
-order/choices
interval data - ANSWERS-meaningful differences
-no true value of zero
-gives orders of values AND ability to quantify differences between each one
-"twice as much rule"
ratio data - ANSWERS-meaningful differences
-true value of zero
-ultimate order--interval values and the ability to calculate ratios since a true zero exists
, nominal examples - ANSWERS-cellular provider
-zip codes
-question #'s
-# on players jerseys
-states in which responders live
ordinal examples - ANSWERS-placing in a race
-education level
-batting order
-service satisfaction
interval examples - ANSWERS-birth year of players
-calendar year
-level of difficulty (#'s)
-temperature (Celcius or Farenheit)
ratio examples - ANSWERS-income
-# of runs
-height
-temperature (Kelvin)
-distance from JMU
categorical data - ANSWERSdefines categories ie: car brand, major, eye color
numerical data - ANSWERSdiscrete or continuous
discrete data - ANSWERSThis type of data are numerical values that represent whole numbers