meeting 02 Statistical data type
2/20/2011
Statistical data type
Presented by:
Mahendra Adhi Nugroho
Rationale
The key understanding that what we can do
with statistics, both from creator and from
use point
i t off view,
i
is
i to
t know
k
the
th
characteristics the data is being examined.
Source:
http://www.wisc-online.com/objects/ViewObject.aspx?ID=TMh2802
Anderson, Sweeney,wiliams, Statistics for Business and Economics , 10 e, Thomson, 2008
Sugiyono, Statistika untuk penelitian, alfbeta, Bandung, 2007
Objectives
After successfully completing this learning
object, you will be able to:
Determine the word “data” is being
g used in a
singular or plural context.
Determine is the data is quantitative or
qualitative.
Determine is the data is nominal or ordinal.
Determine is the data is interval or rational.
Determine is the data is discrete or continuous.
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
1
2/20/2011
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
2
2/20/2011
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
3
2/20/2011
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
4
2/20/2011
Measurement Levels
Other Categorization
Differences between
measurements, true
zero exists
Ratio Data
Data
Qualitative
(Categorical)
Nominal
Ordinal
Quantitative Data
Differences between
measurements but no
true zero
Quantitative
(Numerical)
Discrete
Continuous
Ordinal
Interval
Ordered Categories
(rankings, order, or
scaling)
Interval Data
Ordinal Data
Qualitative Data
Ratio
Categories (no ordering
or direction)
Nominal Data
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
5
Statistical data type
Presented by:
Mahendra Adhi Nugroho
Rationale
The key understanding that what we can do
with statistics, both from creator and from
use point
i t off view,
i
is
i to
t know
k
the
th
characteristics the data is being examined.
Source:
http://www.wisc-online.com/objects/ViewObject.aspx?ID=TMh2802
Anderson, Sweeney,wiliams, Statistics for Business and Economics , 10 e, Thomson, 2008
Sugiyono, Statistika untuk penelitian, alfbeta, Bandung, 2007
Objectives
After successfully completing this learning
object, you will be able to:
Determine the word “data” is being
g used in a
singular or plural context.
Determine is the data is quantitative or
qualitative.
Determine is the data is nominal or ordinal.
Determine is the data is interval or rational.
Determine is the data is discrete or continuous.
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
1
2/20/2011
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
2
2/20/2011
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
3
2/20/2011
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
4
2/20/2011
Measurement Levels
Other Categorization
Differences between
measurements, true
zero exists
Ratio Data
Data
Qualitative
(Categorical)
Nominal
Ordinal
Quantitative Data
Differences between
measurements but no
true zero
Quantitative
(Numerical)
Discrete
Continuous
Ordinal
Interval
Ordered Categories
(rankings, order, or
scaling)
Interval Data
Ordinal Data
Qualitative Data
Ratio
Categories (no ordering
or direction)
Nominal Data
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
5