1.2 Data Classification

I. Types of Data

Qualitative Data: consists of attributes, labels or non-numerical entries

Examples:

Quantitative Data: consists of numerical measurements or counts

Examples:

Page 9, Example 1

II. Levels of Measurement

The level of measurement determines which statistical calculations are meaningful.Nominal: qualitative only, categorical using names, labels, or qualities. No mathematical computations can be made at this level.

Examples:Ordinal: qualitative or quantitative, data can be arranged in order, but differences between data entries are not meaningful.

Examples:Picturing the World

Interval: qualitative, data can be ordered and you can calculate meaningful differences but there is no true zero

Examples:

Ratio: quantitative, numerical data with a zeroExamples:

Now let’s do Examples 2 & 3 on pages 10 & 11.There is a great summary table on page 12!

Time to Practice

Page 13 # 1- 6 togetherHomework: Pages 13-14 #7-20 all