1. Y
X
Yc Yd
Xc
Both Continuous Yd Xc
Stat > Basic
Statistics >
Correlation
Stat > Regression >
Regression
BLR- Binary Logistic Regression/ Y Must be binary
NLR- Nominal Logistic Regression/ If Y is nominal
OLR- Ordinary Logistic Regression/ If Y is Ordinal
Stat > Regression > Binary Logistic Regression
Stat > Regression > Ordinal Logistic Regression
Stat > Regression > Nominal Logistic Regression
Xd Yc
Stat > Basic Statistics > Graphical Summary
Xd
Centering OF
PROCESS
Variation OF SYSTEM Both Discreate
Stat>BasicStatistics>NormalityTestforY
NormalifP>5%
Mean Tests
SD /
Variance
Y is binary
Y is in
count
Y is not binary
Parametric Tests
Stat > Basic
Statistics >
1 Variance
Calagorical Numerical
Stat > Basic
Statistics > 1-
Sample t
Stat > Basic
Statistics >
2 Variances
Stat > Basic
Statistics > 1
Proportion
Stat >
Basic
Statistics
> 1-
Sample
Poisson
Rate
Stat > Basic
Statistics > 2-
Sample t
Stat >
ANOVA >
Test for
Equal
Variances
F Test for
2 samples
Both
Categorical
Stat > ANOVA >
One-way
Stat > Power and
Sample Size > One-
Way ANOVA
Stat >
ANOVA >
Test for
Equal
Variances
Bartlett's
for >2
samples.
Stat > Basic
Statistics > 2
Proportions
Stat >
Basic
Statistics
> 2-
Sample
Poisson
Rate
Calagorical
Stat > Tables
> Cross
Tabulation
and Chi-
Square
Stat > Tables
> Chi-Square
Goodness-of-
Fit Test (One
Variable)
NonNormalifP<5%
Reallifesituation
Median Tests Numerical
Stat > Tables
> Chi-Square
Goodness-of-
Fit Test (One
Variable)
Stat > Tables
> Chi-Square
Test (Two-
Way Table in
Worksheet)
Non Parametric
Tests
Stat >
ANOVA >
Test for
Equal
Variances
Leavene
Does it matter
if Y is normal
or or?
Does it
matter if Y
is normal
or or?
Both
Numerical
Stat >
Nonparametrics > 1-
Sample Sign
Stat >
Nonparametrics >
Mann-Whitney
Stat >
Nonparametrics >
Mood's Median Test