Statistics Data Classification Level of Measurement N Butterworth

+ Statistics: Data Classification & Level of Measurement N Butterworth East River High School Rev 21 August 2016

+ Data Classification: n Qualitative Data (Categorical Data): Data consisting of attributes, labels or non-numeric entries. n Quantitative Data (Numeric Data): Data consisting of numeric measurements or counts. n Telling the Difference: Not all number data are numeric. Data consisting of your grade in school or your street number are categorical. Ask yourself the question “Could I ever use the average of the data? ” If the answer is no, the data is categorical (qualitative).

+ Levels of Measurement: n Nominal Level of Measurement: Qualitative (categorical) data only. No computations can be made on the data. n Ordinal Level of Measurement: Qualitative or quantitative data. The data can be ordered or ranked, but differences between data entries aren’t meaningful. n Interval Level of Measurement: Data that can be ordered. You can calculate meaningful differences between data entries. A zero entry simply represents a position on a scale, not the concept of none. n Ratio Level of Measurement: Data that can be ordered. You can calculate meaningful differences between data entries. A zero entry implies none. Data entries can be expressed as ratios of other data entries.