QUALITATIVE AND QUANTITATIVE DATA

QUALITATIVE DATA

Qualitative data is information which does not present itself in numerical form and is descriptive, appearing mostly in conversational or narrative form. A good example of qualitative data is an answer that describes how good a certain type of massage feels-such data cannot be quantified. 

Examples: Skin color,  hair color, salty taste, etc.

QUANTITATIVE DATA

Quantitative data refers to information that is obtained through counting or information expressed numerically. It is commonly used in the field of statistics where information is collected from experiments and explained through numbers. Quantitative data is usually represented in graphs, histograms, charts and tables.

Examples: Height 55 inches, weight 55 kg, etc.

QUALITATIVE DATA VS. QUANTITATIVE DATA

Examine the differences between qualitative and quantitative data.

Qualitative Data	Quantitative Data
Overview: Deals with descriptions. Data can be observed but not measured. Colors, textures, smells, tastes, appearance, beauty, etc. Qualitative → Quality	Overview: Deals with numbers. Data which can be measured. Length, height, area, volume, weight, speed, time, temperature, humidity, sound levels, cost, members, ages, etc. Quantitative → Quantity
Example 1: Oil Painting Qualitative data: Blue/green colour, gold frame Smells old and musty Texture shows brush strokes of oil paint Peaceful scene of the country Masterful brush strokes	Example 1: Oil Painting Quantitative data: Picture is 10" by 14" With frame 14" by 18" Weighs 8.5 pounds Surface area of painting is 140 sq. in. Cost $300
Example 2: Coffee Qualitative data: Black coffee Hot Strong taste White cup	Example 2: Coffee Quantitative data: 12 ounces of coffee Serving temperature 150º F. Serving cup 7 inches in height Cost $1.00
Example 3: Classroom Qualitative data: Calm and quite Clean White colour wall Sky colour floor	Example 3: Classroom Quantitative data: 115 students 60 girls, 55 boys 120 sits 15 windows

REFERENCE: www.regentsprep.org 

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