Qualitative Data: consists of attributes, labels or non-numerical entries Examples: Quantitative Data: consists of numerical measurements or counts Examples:

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Qualitative Data: consists of attributes, labels or non-numerical entries Examples: Quantitative Data: consists of numerical measurements or counts Examples: Page 9, Example 1

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

Page 13 # 1- 6 together Homework: Pages #7-20 all

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