Introduction Of Statistical Data
Primary
data – data you collect
– Example
:
· Surveys
· Focus
groups
· Questionnaires
· Personal
interviews
· Experiments
and observational study
Secondary
data – data someone else has collected
– Example
:
· County
health departments
· Vital
Statistics – birth, death certificates
· Hospital,
clinic, school nurse records
· Private
and foundation databases
· City
and county governments
Qualitative
Data - Can be separated into different categories that are distinguished by
some nonnumeric characteristics
• Deals
with descriptions.
• Data
can be observed but not measured.
• Colors,
textures, smells, tastes, appearance, beauty, etc.
• Qualitative
→ Quality
Quantitative
Data - Numbers representing counts or measurements
• 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:
· red/green
color, 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: Latte
Qualitative
data:
*robust
aroma
*frothy
appearance
*
strong taste
*glass
cup
|
Example
2: Latte
Quantitative
data:
*12
ounces of latte
*serving
temperature 1500 F.
*serving
cup 7 inches in height
*cost
$4.95
|
Example
3: Freshman Class
Qualitative
data:
*friendly
demeanors
*civic
minded
*environmentalists
*positive
school spirit
|
Example
3: Freshman Class
Quantitative
data:
*672
students
*394
girls, 278 boys
*68%
on honor roll
*150
students accelerated in mathematics
|
what if my height ? is that qualitative or quannitative?
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