meeting 14 Comparative Hypothesis Test
5/17/2011
Comparative Hypotheses
Paired
Com pa r a t ive
H ypot h e sis T e st
Two Sample
Independent
Comparative
Hypotheses
Paired
Pr e se nt e d by
M a h e n dr a AN
K sample
(more than 2
sample)
Independent
Statistics Techniques
Basic Principles
D a t a Type s
Com pa r ison for m
Two Sample
Popu la t ion
pa r a m e t e r
μ1: μ2: μ3
Reduction
St a t ist ic
X :X :X
1
2
Independent Correlated
Independent
Interval
Ratio
Two sample
t-test *
Two sample
t-test *
One-way
ANOVA*
Two-way
ANOVA
One-way
ANOVA*
Two-way
ANOVA
N
Nominal
i l
M Nemar
Mc
N
Fisher
Fi
h Exact
E
t
Two sample
Chi square
Chi square
Chi square
for k sample for k sample
Cocharn Q
Ordinal
Sign test
Wilcoxon
Matched
Pairs
Median test
MannWhtney U
test
Kolomogoro
v Smirnov
WaldWolfowitz
Friedman
Two-way
ANOVA
3
Generalization = comparison two
or more sample/comparative
hypotheses test
K Sample
Correlated
* Parametric
statistics
Median
Extension
KruskalWalls
One-way
ANOVA
Kami bukanlah penganjur de Sch oolin g Socie t y
Tapi kami yakin bahwa orang yang punya disiplin
membaca
Sebenarnya dapat melangkah lebih jauh
D i d orang yang hanya
Daripada
h
mengandalkan
d lk
b
bangku
k
sekolah
Every place is school, every one is teacher…
== Dari dinding LPM Ekonomika FE UII
dikutip oleh Anita Kristianingsih , 2000 ==
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
1
Comparative Hypotheses
Paired
Com pa r a t ive
H ypot h e sis T e st
Two Sample
Independent
Comparative
Hypotheses
Paired
Pr e se nt e d by
M a h e n dr a AN
K sample
(more than 2
sample)
Independent
Statistics Techniques
Basic Principles
D a t a Type s
Com pa r ison for m
Two Sample
Popu la t ion
pa r a m e t e r
μ1: μ2: μ3
Reduction
St a t ist ic
X :X :X
1
2
Independent Correlated
Independent
Interval
Ratio
Two sample
t-test *
Two sample
t-test *
One-way
ANOVA*
Two-way
ANOVA
One-way
ANOVA*
Two-way
ANOVA
N
Nominal
i l
M Nemar
Mc
N
Fisher
Fi
h Exact
E
t
Two sample
Chi square
Chi square
Chi square
for k sample for k sample
Cocharn Q
Ordinal
Sign test
Wilcoxon
Matched
Pairs
Median test
MannWhtney U
test
Kolomogoro
v Smirnov
WaldWolfowitz
Friedman
Two-way
ANOVA
3
Generalization = comparison two
or more sample/comparative
hypotheses test
K Sample
Correlated
* Parametric
statistics
Median
Extension
KruskalWalls
One-way
ANOVA
Kami bukanlah penganjur de Sch oolin g Socie t y
Tapi kami yakin bahwa orang yang punya disiplin
membaca
Sebenarnya dapat melangkah lebih jauh
D i d orang yang hanya
Daripada
h
mengandalkan
d lk
b
bangku
k
sekolah
Every place is school, every one is teacher…
== Dari dinding LPM Ekonomika FE UII
dikutip oleh Anita Kristianingsih , 2000 ==
© Mahendra Adhi Nugroho, M.Sc, Accounting Program Study of Yogyakarta State University
For internal use only!
1