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 Deals with descriptions.  Data can be observed but not measured.  Colors, textures, smells, tastes, appearance, beauty, etc.  Qualitative → Quality.

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Presentation on theme: " Deals with descriptions.  Data can be observed but not measured.  Colors, textures, smells, tastes, appearance, beauty, etc.  Qualitative → Quality."— Presentation transcript:

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2  Deals with descriptions.  Data can be observed but not measured.  Colors, textures, smells, tastes, appearance, beauty, etc.  Qualitative → Quality

3  Qualitative data: Fast Elusive Short Humble Oklahoma State Alumni Detroit Lions  Example 1: Barry Sanders

4  Deals with numbers.  Data which can be measured.  Length, height, area, volume, weight, speed, time, temperature, etc.  Quantitative → Quantity

5  Quantitative data: 180 pounds 5’8” in Height Rushed for 15,269 Yards 99 Career TD’s  Example 1: Barry Sanders

6 QUALITATIVEQUANTITATIVE  12 fluid ounces  serving temperature 50º F.  8 inches tall  cost $1.00 Example 2: Powerade Blue Tastes Refreshing Hydrating Cylinder Shaped

7 QUALITATIVE DATAQUANTITATIVE DATA  Professional Athletes  Tall  Confident  Young Adults  Athletic  12 Players  Average 99 Points  Average Rebounds a game 39.6  Average height 6’9” Weight 200 pounds USA Olympic Team USA Combined Team Statistics (as of Jul 24, 2012)


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