1. 2.00_Study of Biology_Characteristics of Life
Biology I Data Types: Quantitative & Qualitative
Slides

2. Measuring
Involves quantitative data that can be measured in numbers &/or qualitative data information that isn’t numbers
Sampling
Technique of using a sample – a small part – to represent the entire population

3. Kinds of Information 1.
Quantitative
Quantitative includes those things that can be measured.
Data collection is a method in which data that can be numerically counted or expressed is collected.
This data is useful for experiments, manipulated analysis, etc. and is represented by histograms, tables, charts, and graphs.
It deals with measurements like height, length, volume, area, humidity, temperature, etc. For example; Height = 2.8m. Or sometimes they represent the exact number like, Number of students = 234.
This type of data is associated with some type of scale measurement. The most commonly used scale for this data is a ratio scale.
Another general scale measurement is the interval scale.
Quantitative data is criticized for its lack of in-depth description thus it is used by researchers along with qualitative data to back up its reliability with explanations of the qualitative information.
Qualitative observations use your senses to observe the results. (Sight, smell, touch, taste and hear.)

4. Kinds of Information 2.
Qualitative
Qualitative data describes the situation and reaction in descriptive terms. 
Collection is a method in which the characteristics, attributes, properties, qualities, etc. of a phenomenon or thing is described.
It is the description of data in a language rather than in numbers.
This method does not measure the characteristics but describes them. For example; Favorite color = blue
It is also sometimes referred to as “categorical data.”
It does not focus on drawing any inferences.
It only deals with data that can be observed like texture, taste, smell, beauty, but is not measured.
Quantitative observations are made with instruments such as rulers, balances, graduated cylinders, beakers, and thermometers. These results are measurable.

5. Qualitative Data
Quantitative Data
 Overview:
Overview:
Deals with descriptions.
Data can be observed but not measured.
Colors, textures, smells, tastes, appearance, beauty, etc.
Qualitative → Quality
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:
Quantitative data:
blue/green color, gold frame
smells old and musty
texture shows brush strokes of oil paint
peaceful scene of the country
masterful brush strokes
picture is 10" by 14"
with frame 14" by 18"
weighs 8.5 pounds
surface area of painting is 140 sq. in.
cost $300

6. Qualitative Data
Quantitative Data
Example 2:
Latte
Qualitative data:
Quantitative data:
robust aroma
frothy appearance
strong taste
burgundy cup
12 ounces of latte
serving temperature 150º F.
serving cup 7 inches in height
cost $4.95
Example 3:
Freshman Class
friendly demeanors
civic minded
environmentalists
positive school spirit
672 students
394 girls, 278 boys
68% on honor roll
150 students accelerated in mathematics

7. Qualitative vs. Quantitative Data

8. Quantitative vs.Qualitative Data

9. Comparing Quantitative and Qualitative Data

10. Collecting Qualitative and Quantitative Data Now it's your turn!