Transcript 1.19_BIO I_Data Type_Quantitative_Qualitatives_108

2.00_Study of
Biology_Characteristics of Life
Biology I
Data Types: Quantitative &
Qualitative
Slides 108-116
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– 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
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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.)
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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.
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Qualitative Data
Overview:
 Deals with descriptions.
 Data can be observed but not
measured.
 Colors, textures, smells, tastes,
appearance, beauty, etc.
 Qualitative → Quality
Example 1:
Oil Painting
Qualitative 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
Quantitative Data
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
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
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Qualitative Data
Example 2:
Latte
Qualitative data:
 robust aroma
 frothy appearance
 strong taste
 burgundy cup
Example 3:
Freshman Class
Qualitative data:
 friendly demeanors
 civic minded
 environmentalists
 positive school spirit
Quantitative Data
Example 2:
Latte
Quantitative data:
 12 ounces of latte
 serving temperature 150º F.
 serving cup 7 inches in height
 cost $4.95
Example 3:
Freshman Class
Quantitative data:
 672 students
 394 girls, 278 boys
 68% on honor roll
 150 students accelerated in
mathematics
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Qualitative vs. Quantitative
Data
https://www.youtube.com/watch?v=6yzT3jgEm54
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Quantitative vs.Qualitative
Data
https://www.youtube.com/watch?v=EcKrT_IegoU
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Comparing Quantitative and
Qualitative Data
https://www.youtube.com/watch?v=Zx2UGrXPqzY
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Collecting Qualitative and Quantitative
Data Now it's your turn!
https://www.youtube.com/watch?v=3ceU9vY_jIk
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