Category : Financial and Statistics
Archive   : KSTAT1.ZIP
Filename : KSWHAT.300

What Analysis Should You Use?
@1,You want to get descriptive statistics of SINGLE variable(s)
@2,You want to get DESCRIPTIVE statistics of two RELATED variables
@3,You want to COMPARE two variables, Independent or Paired
@4,You want to COMPARE more than two variables, Independent or Related
@5,You want to examine ASSOCIATION between two variables
@6,You want to examine ASSOCIATION between more than two variables
@7,Definitions of Terms Used
##1
DESCRIPTIVE STATISTICS & GRAPHS PROCEDURES TO USE
ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ
ÚÄ Data is ÄÄÄÄÄ> Mean, S.D., Box Plot, 5 number summary
³ Normal Histogram, Conf. Interval
³ (Stat Module, B, C, & E)
³
³Ä Data not ÄÄÄÄ> Median, Box Plot
³ Normal Histogram, 5 number summary
One Sample ÄÄij (Stat Module, B & E)
³Ä Data is
³ CategoricalÄÄ> Frequencies, Pictogram
³ (Crosstabs Module, B)
³
ÀÄ ObservationsÄ> Time Series Plot
Over Time (Stat Module, option G)

##2
DESCRIPTIVE STATISTICS & GRAPHS PROCEDURES TO USE
ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ
ÚÄ Data areÄÄÄÄÄ> Pearson's Corr. Coeff. &
³ Normal XÄY Scatterplot
³ (Stat Module, option F &
³ Regression Module option B & D)
³
Two SamplesÄÄÄÄ³Ä Data notÄÄÄÄÄ> Spearmans Corr. Coeff. &
(Related) ³ Normal XÄY Scatterplot
³ (Stat Module, option F &
³ Regression Module, option D)
³
ÀÄ Data areÄÄÄÄÄ> Crosstabulations and
Qualitative 3ÄD Bar Chart
(Crosstabs Module,
options D & E)

##3
COMPARISON TESTS Ä TWO SAMPLES TEST TO USE
ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ
ÚÄ Data areÄÄÄÄÄ> Paired tÄtest
³ Normal (tÄtest & ANOVA Module,
³ Option C)
³ÄÄÄSamplesÄÄÄ³Ä Data not ÄÄÄÄ> Freidmans Test
³ Related ³ Normal (Non-Parametrics Module
³ ³ Option C)
³ ÀÄ Data are
³ DichotomousÄÄ> McNemar's test
Two Samples Äij (Crosstabs Module,
³ Option F)
³ ÚÄ Data areÄÄÄÄÄ> Ind. Group tÄtest
³ ³ Normal (tÄtest, ANOVA Module,
³ ³ option B)
³ ³
³ÄÄSamplesÄÄÄÄ³Ä Data notÄÄÄÄÄ> MannÄWhitney U test
Independent³ Normal (Non-Parametrics Module,
³ Option B)
³
ÀÄ Data areÄÄÄÄÄ> ChiÄSquare (Homogeniety)
Qualitative (Crosstabs Module,
option D)
##4
COMPARING MORE THAN TWO SAMPLES TEST TO USE
ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ

ÚÄ Data areÄÄÄÄÄ> Repeated Measures ANOVA
³ Normal (tÄtest & ANOVA Module,
³ Option C)
³
ÚÄSamplesÄÄÄ³Ä Data not ÄÄÄÄ> Friedman ANOVA
³ Related ³ Normal (Non-Parametrics Module,
³ ³ Option C)
³ ÀÄ Data are
³ DichotomousÄÄ> Cochran's Q test
³ (Non-Parametrics Module,
More than ³ Option D)
Two Samples Äij ÚÄ Data areÄÄÄÄÄ> Independent Group ANOVA
³ ³ Normal (tÄtest & ANOVA Module,
³ ³ Option B)
³ ³
ÀÄSamplesÄÄÄ³Ä Data notÄÄÄÄÄ> KruskalÄWallis
Independent³ Normal (Non-Parametrics Module,
³ Option B)
³
ÀÄ Data areÄÄÄÄÄ> ChiÄSquare Test
Qualitative (Crosstabs Module,
Option D)
##5

TESTING ASSOCIATION BETWEEN TWO VARIABLES PROCEDURE TO USE
ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ

ÚÄ Data areÄÄÄÄÄ> Pearson Correlation
³ Normal Simple Linear Regression
³ (Regression Module
³ Option B or D)
³
Two Samples RelatedÄÄÄÄ³Ä Data not ÄÄÄÄ> Spearman Correlation
³ Normal (Regression Module,
³ option D)
³Ä Data are
³ QualitativeÄÄ> Chi-Square (Independence)
³ (Crosstabs Module,
³ Option D)
ÀÄ Data mixedÄÄÄÄ> Spearman Correlation
Normal, Not (Regression Module,
Normal option D)
##6


MORE THAN TWO ASSOCIATED VARIABLES PROCEDURE TO USE
ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ ÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍÍ

ÚÄ Data areÄÄÄÄÄ> Multiple Regression
³ Normal (Regression Module,
³ Option C)
³
More than 2 Samples ÄÄ³Ä Data notÄÄÄÄÄ> Kendall partial rankÄ
Related ³ Normal correlation
³ (N.A.)
³
ÀÄ Data areÄÄÄÄÄ> Discriminant Analysis
Qualitative (N.A.)



##7
DEFINITIONS

NORMAL refers to data that are well approximated by a normal (Gaussian)
distribution.

NOT NORMAL refers to quantative data that are not normally distributed.

CATEGORICAL refers to nominal data, such as male/female or brown/blue/black.

QUANTITATIVE refers to data that are numeric such as height, batting average,
number of people per household, etc.

QUALITATIVE refers to data that describe attributes such as hair color,
socioeconomic class, sex, etc.

ASSOCIATED refers to variables where knowledge of one helps predict the
other.

INDEPENDENT refers to variables where knowledge of one does not help predict
others. Usually, samples from unrelated populations.
(continued)
##8
DEFINITIONS
(Continued)

RELATED refers to samples where multiple measures are taken on the same or
related entities. For example, before after weights for a diet, or heights of
twins.

DICHOTOMOUS refers to data that are categorical and can take on only one of
two possible states. For example, yes,/no or on/off. VARIABLE refers to the
observed measure, such as height, hair color, etc.